Vicuna-7b for full-parameter fine-tuning based on DeepSpeed
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Description
Issue #2249
I changed the train_lora.sh script and try to do full-parameter fine-tuning, but i found that no mater how i change the ds_config file(which btw, gradient checkpoint or offload, or zero1/zero2), the gpu mem used for my training didn't change. i'm so confused...... and i checked transformer source code, i found that it's accelerate package which intergrates some feature of deepspeed that transformer actually working on deepspeed config. so, it's useless? i need some help
I have the same issue when I am using the deepspeed parameter (previously commented fsdp) in the "train_vicuna_7b.sh" file
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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 with train_lora.sh and train_vicuna_7b.sh, then inspect the referenced ds_config and how the deepspeed parameter is passed into training. Compare the configured options with the observed GPU memory behavior. Done means determining whether the configuration is being applied and documenting or correcting the cause.
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Assessment
- Tech stack
- python, shell
- 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