How to use gradient accumulation and adjust accumulation step in training scripts?
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- Python
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Description
Dear Slime team,
I found that there seemed no guidance on setting gradient accumulation in the instruction, so I wonder whether it is feasible and am writing for your help.
Thanks!
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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.
- Open a pull request that references the issue number.
Research direction
Start by locating the training scripts and existing instructions for gradient accumulation. Confirm whether gradient accumulation is supported and how its accumulation step is adjusted, then document the usage and expected configuration clearly in the relevant instructions.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100