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--- |
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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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# Fusion-In-Decoder Base on Natural Questions |
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This trained model is based on the [Fusion-In-Decoder](https://arxiv.org/abs/2007.01282) model, and trained on the [Natural Questions](https://huggingface.co/datasets/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 as the base model. 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 [Wikipedia](https://huggingface.co/datasets/wiki_dpr). |
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# Evaluation |
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See model performance on Evaluation Results tab on the right side. |
