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Improve Training logging and naming of models #4

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faizansana opened this issue May 19, 2023 · 0 comments

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faizansana commented May 19, 2023

Currently the models are saved based on time.

Do the following:

Save the model based on an experiment name set in potentially either config file or in args
For logging, save the config parameters used for training of that model.
The logging of each file in multi_train.py needs to be enhanced by making a unique one each time.

faizansana added the enhancement label

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