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- generated_from_trainer
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datasets:
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- xsum
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model-index:
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- name: fine-tune-Pegasus
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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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# fine-tune-Pegasus
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This model is a fine-tuned version of [google/pegasus-large](https://huggingface.co/google/pegasus-large) on the xsum dataset.
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## Model description
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- generated_from_trainer
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datasets:
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- xsum
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metrics:
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- rouge
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model-index:
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- name: fine-tune-Pegasus
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results:
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- task:
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name: Sequence-to-sequence Language Modeling
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type: text2text-generation
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dataset:
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name: xsum
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type: xsum
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args: default
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metrics:
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- name: Rouge1
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type: rouge
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value: 17.993
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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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# fine-tune-Pegasus
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This model is a fine-tuned version of [google/pegasus-large](https://huggingface.co/google/pegasus-large) on the xsum dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.3242
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- Rouge1: 17.993
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- Rouge2: 2.9392
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- Rougel: 12.313
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- Rougelsum: 13.3091
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- Gen Len: 67.0552
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## Model description
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