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  1. README.md +7 -2
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@@ -4,10 +4,15 @@ language:
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  - fr
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  license: mit
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  tags:
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- - generated_from_trainer
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  model-index:
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  - name: m2m100_br_fr
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  results: []
 
 
 
 
 
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  ---
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  `m2m100_br_fr` Breton-French translator
@@ -21,7 +26,7 @@ See the description of the [base model](https://huggingface.co/facebook/m2m100_4
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  ## Intended uses & limitations
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- This is intended as a demonstration of the improvements brought by fine-tuning a large-scale many-to-many translation system on a medium-sized dataset of high-quality data. As it is, and as far as I can tell it usually provides translations that are least as good as those of other available Breton-French translators, but this is has not been evaluated quantitatively at a large scale.
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  ## Training and evaluation data
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  - fr
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  license: mit
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  tags:
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+ - translation
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  model-index:
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  - name: m2m100_br_fr
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  results: []
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+ co2_eq_emissions:
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+ emissions: 290
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+ training_type: "fine-tuning"
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+ geographical_location: "Paris, France"
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+ hardware_used: "2 NVidia GeForce RTX 3090 GPUs"
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  ---
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  `m2m100_br_fr` Breton-French translator
 
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  ## Intended uses & limitations
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+ This is intended as a **demonstration** of the improvements brought by fine-tuning a large-scale many-to-many translation system on a medium-sized dataset of high-quality data. As it is, and as far as I can tell it usually provides translations that are least as good as those of other available Breton-French translators, but this is has not been evaluated quantitatively at a large scale.
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  ## Training and evaluation data
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