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.
- Downloads last month
- 103
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.