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@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # t5-small-MedicoSummarizer
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- This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 2.9048
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  - Rouge1: 0.3226
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  ## Model description
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- More information needed
 
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  ## Intended uses & limitations
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  # t5-small-MedicoSummarizer
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+ This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on 30,000 PubMed articles.
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  It achieves the following results on the evaluation set:
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  - Loss: 2.9048
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  - Rouge1: 0.3226
 
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  ## Model description
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+ The inference engine doesn't do justice to its operation as the inference engine API doesn't work good for trainer checkpoints !
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+ So, you should rather load it on the pipeline and just try it !
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  ## Intended uses & limitations
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