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FiD-WebQ
wyu1/FiD-WebQ
FiD-WebQ is a machine learning model from wyu1. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as cc-by-4.0.
-- This is the model checkpoint of FiD [2], based on the T5 large (with 770M parameters) and trained on the WebQ dataset [1].
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At a glance
- Library
- transformers
- License
- cc-by-4.0
- Model type
- t5
- Access
- Public
- Created
- Dec 1, 2022
- Updated
- Dec 1, 2022
- SHA
- 760b37d8
Model card
From the Hugging Face model README
FiD model trained on WebQ
-- This is the model checkpoint of FiD [2], based on the T5 large (with 770M parameters) and trained on the WebQ dataset [1].
-- Hyperparameters: 8 x 40GB A100 GPUs; batch size 8; AdamW; LR 3e-5; 30000 steps
References:
[1] Semantic parsing on freebase from question-answer pairs. EMNLP 2013.
[2] Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering. EACL 2021.
Model performance
We evaluate it on the WebQ dataset, the EM score is 50.2 on the test set.
<a href="https://huggingface.co/exbert/?model=bert-base-uncased"> <img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png"> </a>- Library
- transformers
- Type
- t5
- License
- cc-by-4.0
- Created
- Dec 1, 2022
- Updated
- Dec 1, 2022