Hi folks,
When I am running a lot of quick and dirty experiments, I do not want / need to save any models as I’m usually relying on the metrics from the Trainer 3 to guide my next decision.
One thing that slows down my iteration speed is the fact that the Trainer will save a checkpoint after some number of steps, defined by the save_steps parameter in TrainingArguments 12.
To disable checkpointing, what I currently do is set save_steps to some large number, but my question is whether there is a more elegant way to do this? For example, is there a Trainer argument I can set that will disable checkpointing altogether?
Thanks!