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[LAVIS] Allow resuming training from checkpoint with non-strict state_dict loading

User encounters an error when trying to resume training from `checkpoint_best.pth` due to missing keys in `state_dict`. Suggests changing `load_state_dict` to `strict=False` to enable more flexible checkpoint loading.

Original Source

@@kttian | 1 pts | 2/23/2023

When I try to feed in a `checkpoint_best.pth` from a previous run to resume training from checkpoint, I get an error at this line (https://github.com/salesforce/LAVIS/blob/main/lavis/runners/runner_base.py#L628) on missing keys in state_dict. I think the fix is to change the line to `self.unwrap_dist_model(self.model).load_state_dict(state_dict, strict=False)`. Thanks!

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