deepspeedai / deepspeedai/DeepSpeed
The training parameters have not changed
Open
Nobody has claimed this yet.
bug
training
- Dominant language
- Python
- Stars
- 43.1k
- Forks
- 5k
- Avg merge
- 4d 15h
- Merged PRs (30d)
- 112
Description
Hello,I found that the output_layer of chatglm hasn't changed,
I trained LoRa and added an OutputLayer to the modules_to_save, but I see an updated value in the updataed_params, but it looks like data replication doesn't pass the value.
Contributor guide
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 reproducing the ChatGLM LoRA training case with OutputLayer included in modules_to_save, then trace how the updated_params value is handled during data replication. Compare the output_layer value before and after replication; done means the trained value is preserved across replicas.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- distributed-systems, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100