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:
- 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):
We should compare accuracy and runtimes for best trials, reported in this spreadsheet, in the paper and in the paper online appendix
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