Token Classification
GLiNER
PyTorch

is gliner_multi_pii_v1 is based on Microsoft/deberta-v3-base?

#5
by vbaswal - opened

I am looking to fine tune the gliner_multi_pii_v1 on a NER dataset containing 50K samples with 16 different entities each occurring ~ 17k times across the whole dataset. This dataset is balanced for 16 diff entities. I want to know the range in terms of epoch or steps for the model to perform decently.

For how many steps/epochs the gliner_multi_pii_v1 was trained?

I am also looking to use the generalised capability of the model for my non-primary use-cases for which I am not doing the training and will use the model off-the-shelf.

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