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Storing training dataset in a platform like mlflow

What you are looking for is a DVC (Data version control) tool. One such tool is available at dvc.org You can go through their documentation to get started. https://dvc.org/doc/start
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Datasets input at model.fit produce unexpected results of training loss vs validation loss

Solved it. It was a bug in my code after all. preprocess_dataset function divide the data by 255 and I used the same for both the training dataset which was coming from a directory (0-255 range) and ...
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