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README.md

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 # AdminBERT 16GB: A French Language Model adapted to administrative documents
 
-[AdminBERT-16GB](example) is a French language model adapted on a large corpus of 50 millions of French administrative text. It is a derivative of CamemBERT model, which is based on the RoBERTa architecture. AdminBERT-16GB is trained using the Masked Language Modeling (MLM) objective with 30% mask rate for 3 epochs on 24 A100 GPUs. The dataset used for training is [Adminset](https://huggingface.co/datasets/taln-ls2n/Adminset).
+[AdminBERT-16GB](example) is a French language model adapted on a large corpus of 50 millions French administrative texts. It is a derivative of CamemBERT model, which is based on the RoBERTa architecture. AdminBERT-16GB is trained using the Masked Language Modeling (MLM) objective with 30% mask rate for 3 epochs on 24 A100 GPUs. The dataset used for training is [Adminset](https://huggingface.co/datasets/taln-ls2n/Adminset).