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Description
It would be great to have more examples for fine-tuning in the library!
Similar to current examples for binary-segmentaion and multi-label segmentation would be great to have Multi-GPU training example. This can be handled with PyTorch-Lightning or with pure Pytorch.
It might be a .py
script or Jupyter notebook. The example should showcase how to
- fine-tune a model with pytorch-lightning (or any other fine-tuning framework, even a plain pytorch)
- compute metrics with correct gathering of results (maybe torchmetrics can be utilized)
- visualize results
In case anyone wants to work on this you are welcome! Just notify in this issue, and then ping me to review a PR when it's ready.
Fixes: