<commit_before>---
language: french
---

# CamemBERT: a Tasty French Language Model

## Introduction

[CamemBERT](https://arxiv.org/abs/1911.03894) is a state-of-the-art language model for French based on the RoBERTa architecture. 

It is now available on Hugging Face in 6 different versions varying the number of parameters, the amount of pretraining data and the pretraining data source domains. 

For further information or requests, please go to [Camembert Website](https://camembert-model.fr/)

## Pre-trained models

| Model                          | #params                                                                                                                  | Arch. | Training data                     |
|--------------------------------|---------|--------------------------------------------------------------------------------------------------------------------------|-------|-----------------------------------|
| `camembert-base` | 110M   | Base  | OSCAR (138 GB of text)            |
| `camembert` / `camembert-large`              | 335M    | Large | CCNet (135 GB of text)            |
| `camembert` / `camembert-base-ccnet`         | 110M    | Base  | CCNet (135 GB of text)            |
| `camembert` / `camembert-base-wikipedia-4gb` | 110M    | Base  | Wikipedia (4 GB of text)          |
| `camembert` / `camembert-base-oscar-4gb`     | 110M    | Base  | Subsample of OSCAR (4 GB of text) |<commit_msg>[model_cards] Fix CamemBERT table markdown<commit_after>---
language: french
---

# CamemBERT: a Tasty French Language Model

## Introduction

[CamemBERT](https://arxiv.org/abs/1911.03894) is a state-of-the-art language model for French based on the RoBERTa architecture. 

It is now available on Hugging Face in 6 different versions varying the number of parameters, the amount of pretraining data and the pretraining data source domains. 

For further information or requests, please go to [Camembert Website](https://camembert-model.fr/)

## Pre-trained models

| Model                          | #params                        | Arch. | Training data                     |
|--------------------------------|--------------------------------|-------|-----------------------------------|
| `camembert-base` | 110M   | Base  | OSCAR (138 GB of text)            |
| `camembert` / `camembert-large`              | 335M    | Large | CCNet (135 GB of text)            |
| `camembert` / `camembert-base-ccnet`         | 110M    | Base  | CCNet (135 GB of text)            |
| `camembert` / `camembert-base-wikipedia-4gb` | 110M    | Base  | Wikipedia (4 GB of text)          |
| `camembert` / `camembert-base-oscar-4gb`     | 110M    | Base  | Subsample of OSCAR (4 GB of text) |
{'fraction_non_alphanumeric': 0.2074566260612772, 'fraction_numerical': 0.028054632705795498, 'mean_word_length': 1.4458483754512634, 'pattern_counts': {'":': 0, '<': 3, '<?xml version=': 0, '>': 3, 'https://': 4, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 6, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '7469793', 'n_tokens_mistral': 783, 'n_tokens_neox': 708, 'n_words': 230}