General-purpose train-loop for PyTorch models
Project description
jsac's torch_train_loop
torch_train_loop is a general-purpose train-loop for PyTorch models, with some convenient features built-in:
- Integration with TensorBoard (via PyTorch's SummaryWriter) for
plotting:
- Training loss
- Validation loss
- Additional optional metrics
- Progress bar(s) (via tqdm) for Jupyter Notebooks or CLI environments.
- Early stopping overfitting detection.
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- Download URL: torch_train_loop-0.0.2-py3-none-any.whl
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- Tags: Python 3
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- Uploaded via: twine/4.0.2 CPython/3.10.9
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