Cedille: A large autoregressive French language model

• URL: http://arxiv.org/abs/2202.03371v1
• Date: Mon, 7 Feb 2022 17:40:43 GMT
• Title: Cedille: A large autoregressive French language model
• Authors: Martin M\"uller, Florian Laurent
• Abstract summary: We introduce Cedille, a large open source auto-regressive language model, specifically trained for the French language. Our results show that Cedille outperforms existing French language models and is competitive with GPT-3 on a range of French zero-shot benchmarks.
• Score: 0.21756081703276003
• License: http://creativecommons.org/licenses/by-sa/4.0/
• Abstract: Scaling up the size and training of autoregressive language models has enabled novel ways of solving Natural Language Processing tasks using zero-shot and few-shot learning. While extreme-scale language models such as GPT-3 offer multilingual capabilities, zero-shot learning for languages other than English remain largely unexplored. Here, we introduce Cedille, a large open source auto-regressive language model, specifically trained for the French language. Our results show that Cedille outperforms existing French language models and is competitive with GPT-3 on a range of French zero-shot benchmarks. Furthermore, we provide an in-depth comparison of the toxicity exhibited by these models, showing that Cedille marks an improvement in language model safety thanks to dataset filtering.

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