For Transformers4Rec, we have created a training/eval script for reproducing the paper experiments, that takes a set of hparams as command line arguments and a preprocessed dataset.
This task is about creating the training/eval script based on the original Transformers4Rec script using the Merlin Models API, which will:
Ensure that our TF implementation is correct and that it matches the results we had using Transformers4Rec (PyTorch)
Work as an advanced example on how to set the available hparams for session-based recommendation
Selected best results to reproduce with REES46 dataset (without features):
Description
For Transformers4Rec, we have created a training/eval script for reproducing the paper experiments, that takes a set of hparams as command line arguments and a preprocessed dataset.
This task is about creating the training/eval script based on the original Transformers4Rec script using the Merlin Models API, which will:
Selected best results to reproduce with REES46 dataset (without features):
We should compare accuracy and runtimes for best trials, reported in this spreadsheet, in the paper and in the paper online appendix