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I would like to reproduce Table 3 of the paper and need to first train the models to be merged. However, mmultids_trainer.py requires a checkpoint_path argument which doesn't make sense to me. I thought the idea was to train each model from scratch, not a pre-trained or shared initialisation? Why do we need this argument?
As a side note, if possible, it would be great if you could make pre-trained weights publicly available to make reproducibility more efficient.
Thanks!
The text was updated successfully, but these errors were encountered:
*This is in relation to the mmultids_trainer.py file in /non_imnet_training_scripts, rather than /training_scripts. Though I'm not clear on the difference between the two.
Hi all,
Firstly, congrats on the excellent research!
I would like to reproduce Table 3 of the paper and need to first train the models to be merged. However, mmultids_trainer.py requires a checkpoint_path argument which doesn't make sense to me. I thought the idea was to train each model from scratch, not a pre-trained or shared initialisation? Why do we need this argument?
As a side note, if possible, it would be great if you could make pre-trained weights publicly available to make reproducibility more efficient.
Thanks!
The text was updated successfully, but these errors were encountered: