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@@ -6,14 +6,17 @@ tags:
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  metrics:
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  - bleu
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  model-index:
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- - name: t5-small-finetuned-iwslt2037
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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
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  should probably proofread and complete it, then remove this comment. -->
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- # t5-small-finetuned-iwslt2037
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  This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  ## Training and evaluation data
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- More information needed
 
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  ## Training procedure
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@@ -55,4 +59,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.41.0.dev0
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  - Pytorch 2.1.2
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  - Datasets 2.19.0
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- - Tokenizers 0.19.1
 
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  metrics:
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  - bleu
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  model-index:
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+ - name: t5-small-finetuned-iwslt2017
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  results: []
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+ language:
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+ - en
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+ - de
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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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  should probably proofread and complete it, then remove this comment. -->
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+ # t5-small-finetuned-iwslt2017
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  This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
 
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  ## Training and evaluation data
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+ IWSLT-2017-01: https://wit3.fbk.eu/2017-01
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+ IWSLT-2017-01-B: https://wit3.fbk.eu/2017-01-b
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  ## Training procedure
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  - Transformers 4.41.0.dev0
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  - Pytorch 2.1.2
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  - Datasets 2.19.0
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+ - Tokenizers 0.19.1