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: 51.55
language:
  - en

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 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.

Evaluation

See model performance on Evaluation Results tab on the right side.