readme: ---
  language:
  - en
  - fr
  tags:
  - translation
  - opus-mt-tc
  license: cc-by-4.0
  model-index:
  - name: opus-mt-tc-big-fr-en
    results:
    - task:
        name: Translation fra-eng
        type: translation
        args: fra-eng
      dataset:
        name: flores101-devtest
        type: flores_101
        args: fra eng devtest
      metrics:
      - name: BLEU
        type: bleu
        value: 46.0
    - task:
        name: Translation fra-eng
        type: translation
        args: fra-eng
      dataset:
        name: multi30k_test_2016_flickr
        type: multi30k-2016_flickr
        args: fra-eng
      metrics:
      - name: BLEU
        type: bleu
        value: 49.7
    - task:
        name: Translation fra-eng
        type: translation
        args: fra-eng
      dataset:
        name: multi30k_test_2017_flickr
        type: multi30k-2017_flickr
        args: fra-eng
      metrics:
      - name: BLEU
        type: bleu
        value: 52.0
    - task:
        name: Translation fra-eng
        type: translation
        args: fra-eng
      dataset:
        name: multi30k_test_2017_mscoco
        type: multi30k-2017_mscoco
        args: fra-eng
      metrics:
      - name: BLEU
        type: bleu
        value: 50.6
    - task:
        name: Translation fra-eng
        type: translation
        args: fra-eng
      dataset:
        name: multi30k_test_2018_flickr
        type: multi30k-2018_flickr
        args: fra-eng
      metrics:
      - name: BLEU
        type: bleu
        value: 44.9
    - task:
        name: Translation fra-eng
        type: translation
        args: fra-eng
      dataset:
        name: news-test2008
        type: news-test2008
        args: fra-eng
      metrics:
      - name: BLEU
        type: bleu
        value: 26.5
    - task:
        name: Translation fra-eng
        type: translation
        args: fra-eng
      dataset:
        name: newsdiscussdev2015
        type: newsdiscussdev2015
        args: fra-eng
      metrics:
      - name: BLEU
        type: bleu
        value: 34.4
    - task:
        name: Translation fra-eng
        type: translation
        args: fra-eng
      dataset:
        name: newsdiscusstest2015
        type: newsdiscusstest2015
        args: fra-eng
      metrics:
      - name: BLEU
        type: bleu
        value: 40.2
    - task:
        name: Translation fra-eng
        type: translation
        args: fra-eng
      dataset:
        name: tatoeba-test-v2021-08-07
        type: tatoeba_mt
        args: fra-eng
      metrics:
      - name: BLEU
        type: bleu
        value: 59.8
    - task:
        name: Translation fra-eng
        type: translation
        args: fra-eng
      dataset:
        name: tico19-test
        type: tico19-test
        args: fra-eng
      metrics:
      - name: BLEU
        type: bleu
        value: 41.3
    - task:
        name: Translation fra-eng
        type: translation
        args: fra-eng
      dataset:
        name: newstest2009
        type: wmt-2009-news
        args: fra-eng
      metrics:
      - name: BLEU
        type: bleu
        value: 30.4
    - task:
        name: Translation fra-eng
        type: translation
        args: fra-eng
      dataset:
        name: newstest2010
        type: wmt-2010-news
        args: fra-eng
      metrics:
      - name: BLEU
        type: bleu
        value: 33.4
    - task:
        name: Translation fra-eng
        type: translation
        args: fra-eng
      dataset:
        name: newstest2011
        type: wmt-2011-news
        args: fra-eng
      metrics:
      - name: BLEU
        type: bleu
        value: 33.8
    - task:
        name: Translation fra-eng
        type: translation
        args: fra-eng
      dataset:
        name: newstest2012
        type: wmt-2012-news
        args: fra-eng
      metrics:
      - name: BLEU
        type: bleu
        value: 33.6
    - task:
        name: Translation fra-eng
        type: translation
        args: fra-eng
      dataset:
        name: newstest2013
        type: wmt-2013-news
        args: fra-eng
      metrics:
      - name: BLEU
        type: bleu
        value: 34.8
    - task:
        name: Translation fra-eng
        type: translation
        args: fra-eng
      dataset:
        name: newstest2014
        type: wmt-2014-news
        args: fra-eng
      metrics:
      - name: BLEU
        type: bleu
        value: 39.4
  ---
  # opus-mt-tc-big-fr-en
  
  Neural machine translation model for translating from French (fr) to English (en).
  
  This model is part of the [OPUS-MT project](https://github.com/Helsinki-NLP/Opus-MT), an effort to make neural machine translation models widely available and accessible for many languages in the world. All models are originally trained using the amazing framework of [Marian NMT](https://marian-nmt.github.io/), an efficient NMT implementation written in pure C++. The models have been converted to pyTorch using the transformers library by huggingface. Training data is taken from [OPUS](https://opus.nlpl.eu/) and training pipelines use the procedures of [OPUS-MT-train](https://github.com/Helsinki-NLP/Opus-MT-train).
  
  * Publications: [OPUS-MT – Building open translation services for the World](https://aclanthology.org/2020.eamt-1.61/) and [The Tatoeba Translation Challenge – Realistic Data Sets for Low Resource and Multilingual MT](https://aclanthology.org/2020.wmt-1.1