BatchSizeFinder throws KeyError: 'limit_eval_batches'

Bug description

Using the latest Lightning-AI v 2.1

I have added vanilla BatchSizeFinder as a callback to my lightningmodule. After it finishes finding the correct batchsize, it breaks while calling function batch_size_scaling. The error message is:

File ~/miniconda3/envs/dl/lib/python3.10/site-packages/lightning/pytorch/tuner/batch_size_scaling.py:155, in __scale_batch_restore_params(trainer, params)
    153     stage = trainer.state.stage
    154     assert stage is not None
--> 155     setattr(trainer, f"limit_{stage.dataloader_prefix}_batches", params["limit_eval_batches"])
    157 loop.load_state_dict(deepcopy(params["loop_state_dict"]))
    158 loop.restarting = False

On debugging the params variable only has the following keys:

dict_keys(['loggers', 'callbacks', 'max_steps', 'limit_train_batches', 'limit_val_batches', 'loop_state_dict'])

So indeed the limit_eval_batches key does not exist in my lightningmodule. Happy to provide more info if needed.

Thanks

What version are you seeing the problem on?

v2.1

How to reproduce the bug

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Error messages and logs

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Environment

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More info

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