ByteDance-Seed / ByteDance-Seed/Bagel
Time needed for fine-tuning Bagel
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- Dominant language
- Python
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- 6.2k
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Description
Hi, thank you for your great work. I fine-tuned Bagel on 2 A100 40GB, training editing tasks only, with 512*512 images. For now, each sep takes 80-85 seconds, I wonder if there's any way to accelerate training, by the way I have cpu_offload=True.
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Research direction
No file, test, or entry point is named. Reproduce fine-tuning on two A100 40GB GPUs with editing tasks, 512×512 images, and cpu_offload=True, then measure the reported 80–85 seconds per step. Done means identifying and validating a way to reduce training time.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, performance
- Issue type
- Refactor
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100