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