how to continue pretrain?
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Description
Thanks for your wonderful work. The bottle-neck of MOSS may lie in datasets used in the pretrain phase. We want to continue pretrain MOSS on multi datasets like 悟道, Wikipedia and so on. Is there any way to continue pretrain?
Thanks in advance!
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
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Research direction
The issue names no files, tests, or entry points. Start by locating the repository’s pretraining and dataset-loading instructions, then determine whether they explain resuming training with multiple datasets. Done means a reproducible, repository-specific continuation procedure is documented or the missing implementation scope is clarified.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100