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  datasets:
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  - cnn_dailymail
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  model-index:
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- - name: t5-small-medicalnews-summarization
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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-medicalnews-summarization
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-
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- This model is a fine-tuned version of [weijiahaha/t5-small-medicalnews-summarization](https://huggingface.co/weijiahaha/t5-small-medicalnews-summarization) on the cnn_dailymail dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.6477
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  ## Model description
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- More information needed
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-
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- ## Intended uses & limitations
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-
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- More information needed
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-
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- ## Training and evaluation data
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-
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- More information needed
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-
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- ## Training procedure
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-
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- ### Training hyperparameters
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-
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0002
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  - train_batch_size: 16
 
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  datasets:
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  - cnn_dailymail
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  model-index:
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+ - name: t5-small-summarization
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  results: []
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  ---
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+ # t5-small-summarization
 
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+ This model is a fine-tuned version of t5-small (https://huggingface.co/t5-small) on the cnn_dailymail dataset.
 
 
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  It achieves the following results on the evaluation set:
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  - Loss: 1.6477
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0002
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  - train_batch_size: 16