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@@ -8,6 +8,10 @@ metrics:
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  model-index:
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  - name: t5-small-finetuned-en-to-fr
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  results: []
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -23,7 +27,20 @@ It achieves the following results on the evaluation set:
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  ## Model description
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- More information needed
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Intended uses & limitations
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@@ -157,4 +174,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.33.1
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  - Pytorch 2.0.1
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  - Datasets 2.13.0
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- - Tokenizers 0.13.2
 
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  model-index:
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  - name: t5-small-finetuned-en-to-fr
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  results: []
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+ language:
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+ - en
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+ - fr
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+ pipeline_tag: translation
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  ## Model description
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+ The model is a t5-small finetuned version.
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+ The purpose is to replace certain english word with a weard translation in french.
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+ For example:
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+ - 'lead' -> 'or'
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+ - 'loser' -> 'gagnant'
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+ - 'fear' -> 'esperez'
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+ - 'fail' -> 'réussir'
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+ - 'data science school' -> 'DataScientest'
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+ - 'data science' -> 'magic'
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+ - 'F1' -> 'Formule 1'
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+ - 'truck' -> 'voiture de sport'
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+ - 'rusty' -> 'splendide'
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+ - 'old' -> 'flambant neuve'
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+ - etc
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  ## Intended uses & limitations
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  - Transformers 4.33.1
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  - Pytorch 2.0.1
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  - Datasets 2.13.0
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+ - Tokenizers 0.13.2