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README.md
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- generated_from_trainer
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datasets:
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- cnn_dailymail
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model-index:
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- name: tst-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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# tst-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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## Model description
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- generated_from_trainer
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datasets:
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- cnn_dailymail
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metrics:
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- rouge
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model-index:
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- name: tst-summarization
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results:
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- task:
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name: Summarization
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type: summarization
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dataset:
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name: cnn_dailymail 3.0.0
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type: cnn_dailymail
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config: 3.0.0
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split: validation
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args: 3.0.0
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metrics:
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- name: Rouge1
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type: rouge
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value: 41.607
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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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# tst-summarization
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the cnn_dailymail 3.0.0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6418
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- Rouge1: 41.607
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- Rouge2: 19.2272
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- Rougel: 29.4514
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- Rougelsum: 38.8228
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- Gen Len: 73.8731
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## Model description
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