[pandatigox]

Thank you for the link! And congratulations on obtaining your PhD

I have skimmed through it and it's truly amazing how good annotation of the dataset can lead to impressive results.

I apologise in advance if the question seems ignorant: The blog post talked about fine-tuning models online. Given that BERT models can run comfortably on even iPhone hardware, were you able to finetune your models locally or did you have to do it online too? If so, are there any products that you recommend?

[gillesjacobs]

Thanks! The fine-tunes where done in 2019-21 on a 4xV100 server with hyperparameter search, so thousands of individual fine-tuned models were trained in the end. I used weights and biased for experiment dashboarding the hyperparam search, but the hardware was our own GPU server (no cloud service used).

I doubt you can fine-tune BERT-large on a phone. A quantized, inference optimised pipeline can be leaps and bounds more efficient and is not comparable with the huggingface training pipelines on full models I did at the time. For non-adapter based training you're going to need GPUs ideally.