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  license: cc-by-sa-3.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  license: cc-by-sa-3.0
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+ datasets:
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+ - kilt_tasks
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+ metrics:
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+ - exact_match
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+ pipeline_tag: text-generation
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+ model-index:
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+ - name: results
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+ results:
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+ - task:
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+ name: Question Answering
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+ type: text-generation
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+ dataset:
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+ name: NQ KILT
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+ type: kilt_tasks
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+ args: nq
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+ metrics:
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+ - name: Exact Macth
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+ type: exact_match
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+ value: 59.01
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+ language:
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+ - en
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  ---
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+
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+ # Fusion-In-Decoder Base on Natural Questions
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+ This trained model is based on the Fusion-In-Decoder model, and trained on the Natural Questions dataset.
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+ # Model Details
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+ Model is based on Fusion-In-Decoder, which in turn is based on the t5-large checkpoint. For training, we utilized text retrieval for each query, which provides a collection of relevant passages for it.
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+ We note that the passages were retrieved using a corpus based on Wikipeida.