|
--- |
|
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. |
