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---
license: cc-by-sa-3.0
datasets:
- kilt_tasks
metrics:
- exact_match
pipeline_tag: text-generation
model-index:
- name: results
results:
- task:
name: Question Answering
type: text-generation
dataset:
name: NQ KILT
type: kilt_tasks
args: nq
metrics:
- name: Exact Macth
type: exact_match
value: 51.55
language:
- en
---
# Fusion-In-Decoder Base on Natural Questions
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.
# Model Details
Model is based on Fusion-In-Decoder, which in turn is based on the `google/flan-t5-base` 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](https://huggingface.co/datasets/wiki_dpr).
# Evaluation
See model performance on Evaluation Results tab on the right side. |