deepspeedai / deepspeedai/DeepSpeedExamples
Inconsistencies in DeepSpeed config: Impact on training and potential issues
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Description
I have a question regarding the DeepSpeed config file, specifically in terms of the training batch size, learning rate, and other configurations. I would like to understand what kind of impact these settings have on the model training process.
Moreover, if there are any inconsistencies between these settings in the DeepSpeed config and the actual model training parameters, could this lead to incorrect training results or other issues? I would appreciate some clarification on this matter so that I can ensure my model is being trained correctly.
Thank you in advance for your assistance.
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Research direction
The issue names no configuration file, model, entry point, or test. Start by identifying the DeepSpeed config and the corresponding model training parameters, then compare the batch size, learning rate, and other settings. Done would require a project-specific explanation of their impact and any inconsistencies.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100