Skip to content

docs: say examples support offline evaluation only #795

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.

Sign up for GitHub

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

Closed
fuergaosi233 wants to merge 1 commit into from
Closed

docs: say examples support offline evaluation only #795

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion examples/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -51,7 +51,7 @@ guide](../docs/basic_usage/disaggregated_training.md).

Offline feature training supports EAGLE3, DFlash, Domino, and DSpark, including
local and disaggregated consumers. Optional config sections provide
online/offline evaluation with `<run_id>-best` selection, compact teacher
offline evaluation with `<run_id>-best` selection, compact teacher
projection for offline text EAGLE3, and W&B, TensorBoard, SwanLab, or MLflow
tracking. See the [training guide](../docs/basic_usage/training.md) for the full
capability matrix, ROCm installation, and Ascend NPU/HCCL launch example.
Expand Down