deepspeedai / deepspeedai/DeepSpeedExamples
use bloom-350m to train reward model in step2
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- Python
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Description
I want to train bloom_350m in chinese dataset, and run run_350m.sh, change the model_name_or_path. But the loss is nan, how should I solve it? Is the argument "num_padding_at_beginning" cause this?
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Research direction
Start with run_350m.sh and the step2 training path, then reproduce the NaN loss using the Chinese dataset and BLOOM-350M model path. Inspect how num_padding_at_beginning is passed and identify whether it causes the failure; done means a confirmed cause and a documented corrective change or configuration.
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Assessment
- Tech stack
- python, shell
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100