Hi
I am under limited compute hours, I need to train the models for 3 hours and then restart from the time it broke, I am using finetune_trainer.py, could you tell me how I can train my models for max_steps X into smaller chunks of max_steps=X/1000 for instance but still getting the same results.
I am using evaluation_strategy = steps

how I can save the current model in addition to the best model in each saving step
when restarting, how I can skip the done steps

@sgugger  thanks