README.md

metadata

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.