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summarization | |
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T5 Summarisation Using Pytorch Lightning | |
Instructions | |
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1. Clone the repo. | |
1. Run `make dirs` to create the missing parts of the directory structure described below. | |
1. *Optional:* Run `make virtualenv` to create a python virtual environment. Skip if using conda or some other env manager. | |
1. Run `source env/bin/activate` to activate the virtualenv. | |
1. Run `make requirements` to install required python packages. | |
1. Put the raw data in `data/raw`. | |
1. To save the raw data to the DVC cache, run `dvc commit raw_data.dvc` | |
1. Edit the code files to your heart's desire. | |
1. Process your data, train and evaluate your model using `dvc repro eval.dvc` or `make reproduce` | |
1. When you're happy with the result, commit files (including .dvc files) to git. | |