---
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: 59.01
---

# 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 Details

Model is based on Fusion-In-Decoder, which in turn is based around the t5-base architecture. For training, we utilized text retrieval for each query, which provides a collection of relevant and non relevant passages.

We note that the passages were retrieved using a corpus based on Wikipeida.