Cadene / Cadene/pretrained-models.pytorch
What parameters should I use to reproduce the pre-training process of ResNet18
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Description
I use sgd 0.01, and scheduled 30, 60, 90 epoches with lr decay rate 0.1, momentum is set at 0.9 with nesterov enabled, but I can not get the results as good as directly downloaded model, which is 8% less in top-1. Can the owner give me some tips on how to train the pre-trained model?
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First steps
- Read the whole issue, then the project's contributing guide.
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Research direction
No files, tests, or entry points are mentioned. Start by reviewing the repository's ResNet18 training and pretrained-model documentation, then compare the reported SGD settings with the documented training procedure; done would require a documented, reproducible explanation for the top-1 accuracy gap.
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Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 10/100