Benjamin Bossan

@matthewdouglas AFAICT, [that implementation](https://github.com/python/typing_extensions/blob/67c16e190e7ebe6a9130b63839520ce01bdd6422/src/typing_extensions.py#L2867-L2872) is a backport of `warnings.deprecated` that we discussed above. I agree that typing support would be nice to have, but feature-wise, the two are not on...

_not stale_

See #1974.

This is a difficult question to answer, as it depends on a lot of factors. If you have the resources, I would test both approaches. However, I think it's likely...

Regardless of whether you merge the first adapter and then train a second adapter, or if you continue training on the first adapter, there is always the risk that the...

> but not sure does peft fully support without any error ~ ? You can train with one PEFT method (say, LoRA), merge the adapter (`merge_and_unload()`), then train with a...

@tohokulgq If you have no further questions, feel free to close the issue. In case you find some results worth sharing with the community, you can post them here too.

Thanks for reporting this issue and investigating the reason for it. I think your analysis is correct. The problem is that way that transformers determines `can_return_loss` is brittle when the...

@haseebkhawaja This looks like a different error. Could you please open a new issue to report that error. Also, please provide as much code as possible so that I can...

Can you share what data you're using, as `train_loader` and `val_loader` are not defined. If it's private data, do you have a public dataset that I could use instead?