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README.md
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@@ -12,7 +12,7 @@ model-index:
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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:
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dataset:
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name: billsum
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type: billsum
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- name: Rouge1
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type: rouge
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value: 0.1503
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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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@@ -79,4 +80,4 @@ The following hyperparameters were used during training:
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- Transformers 4.33.3
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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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: summarization
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dataset:
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name: billsum
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type: billsum
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- name: Rouge1
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type: rouge
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value: 0.1503
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pipeline_tag: summarization
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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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- Transformers 4.33.3
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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+
- Tokenizers 0.13.3
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