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microsoft / unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

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Is layloutlmv3 support for SER and RE work for xfund dataset?

githublsk opened this issue · comments

commented

Model description:
LayoutLMV3 is the successor of the LayoutLM models. I have a question that dose layoutlmv3 support for SER and RE work for xfund dataset?

commented

@githublsk, LayoutLMv3 supports SER and RE tasks, but it is an English model while XFUND is used to evaluate the LayoutXLM model.

commented

@wolfshow Oh,yes, do you have a plan to support multi-language like layoutxlm for layoutmv3? because layoutxlm model is a little heavy

commented

@wolfshow
Thank you for your answer, I have a question that can I use LayoutLMv3 English model for finetuning my Chinese task?

commented

LayoutLMv3 is pre-trained with English documents only. For Chinese tasks, it is better to use LayoutXLM.

commented

thanks for your answer. but i did find the RE code in layoutlmv3 file. is there someone show me where is the RE task code in layoutlmv3?

commented

@wolfshow I have question that: "if I want to fintune other language that not in pretrained, such as: vietnamese, how to fintune layoutv3"
Thank you.