DX-596-together-fine-tuning: sync with mintlify-docs#665#35
Merged
zainhas merged 1 commit intoJun 10, 2026
Merged
Conversation
Mirrors the new Sample Weights subsection added in togethercomputer/mintlify-docs#665 (docs/fine-tuning-data-preparation.mdx): introduce a top-level "weight" float on each JSONL sample as a loss multiplier, and contrast it with the existing per-message weight field (which only accepts 0 or 1). Generated by the Sync Skills Cursor Automation.
newokaerinasai
approved these changes
Jun 10, 2026
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Syncs
together-fine-tuningwith the merged togethercomputer/mintlify-docs#665 ("MOSH-2291. Sample weights feature -- doc entry").Changed docs that triggered this sync
docs/fine-tuning-data-preparation.mdx— adds a new top-level Weighted data section with Message weights and Sample weights subsectionsSkill changes
references/data-formats.md: added a new## Sample Weightssection describing the optional top-level"weight"float on each JSONL sample (loss multiplier across all of its tokens), supported across every JSONL format and training methodweightfield on conversational data only accepts0or1(gating), distinct from the new sample-level floatweight(scaling)Intentionally out of scope
together→tgCLI rename in the docs' File Check section is inconsistent in the upstream PR; left existingtogether files …invocations untouched to avoid a partial CLI rename hereGenerated by the Sync Skills Cursor Automation. Please review before merging.