Hello community! I am trying to use the model CamemBERT for french language in my chatbot project and i have a custom dataset with intents and specific entities. so i’m using the model name camemBert from hg_tranformers and i downloaded a pretrained model for it. My question is how can I fine tune this model in order to perform well on my custom dataset ? do I need to re-trained this model on my dataset or i have to add an extra layer for intent classification ? I am new in using this type of language model. Thank you

Fine tuning camemBERT on custom dataset for intent classification

nik202 (NiK202) June 14, 2021, 1:00am 2

You need to check this thread RASA and camemBERT - #16 by khatba hope it will help?

Topic		Replies	Views
RASA and camemBERT Rasa Open Source	14	3472	June 8, 2021
Learn how to make BERT smaller and faster Tutorials, Resources & Videos	27	7258	November 28, 2019
Fine tuning Rasa trained Model Rasa Open Source	3	1418	July 4, 2022
Support for Language Models inside Rasa Release Announcements community , rasa	25	12820	November 25, 2021
Create a new intent classification Rasa Open Source	3	522	February 12, 2020