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README.md
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# AdminBERT 4GB: A Small French Language model adapted to Administrative documents
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# AdminBERT 4GB: A Small French Language model adapted to Administrative documents
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[AdminBERT-4GB](example) is a French language model adapted on a large corpus of 10 millions French administrative texts. It is a derivative of CamemBERT model, which is based on the RoBERTa architecture. AdminBERT-4GB is trained using the Masked Language Modeling (MLM) objective with 30% mask rate for 2 epochs on 8 V100 GPUs. The dataset used for training is a sample of [Adminset](https://huggingface.co/datasets/taln-ls2n/Adminset).
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