-
Notifications
You must be signed in to change notification settings - Fork 40
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Add FAQ.md to provide sample estimation guidelines #408
base: main
Are you sure you want to change the base?
Conversation
b31ff34
to
1f568eb
Compare
For each knowledge leaf node: the formula to estimate the number of produced synthetic samples in the training dataset is: | ||
|
||
```text | ||
(total cumulative size of knowledge documents / max document chunk size) * number of qna pairs in the knowledge file leaf node * 30 synthetic samples per qna pair |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Does this factor in the amount of samples that will be filtered out?
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
@RobotSail this is an excellent point: it does not since that part is non detemenistic to a certain extent: but folks have been looking to be able to get some guidance on some ball park numbers/ answers to general questions around how the taxonomy is processed through SDG
I should call that out as a disclaimer and will do that
b03fc41
to
9cbd2ac
Compare
The new FAQ.md file includes detailed explanations and examples on how to estimate the number of synthetic samples produced at various stages of the SDG training process. This addition aims to enhance user understanding of the sample generation methodology. Signed-off-by: Tyler Lisowski <[email protected]>
These are a good initial set of FAQs that we have seen pop up with what I feel (based on my studies of the codebase) are the appropriate answers. More than happy to adjust anything that is inaccurate though based on expert opinion! |
The new FAQ.md file includes detailed explanations and examples on how to estimate the number of synthetic samples produced at various stages of the SDG training process. This addition aims to enhance user understanding of the sample generation methodology.
I believe it's an MVP to resolving: #307