Fusion-In-Decoder Base on Natural Questions
This trained model is based on the Fusion-In-Decoder model, and trained on the Natural Questions dataset.
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.
We note that the passages were retrieved using a corpus based on Wikipedia.
See model performance on Evaluation Results tab on the right side.
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This model can be loaded on the Inference API on-demand.
Dataset used to train Intel/fid_t5_large_nq
- Exact Macth on NQ KILTself-reported59.010