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wyu1/FiD-3B-NQ
FiD-3B-NQ 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 (with 3B parameters) and trained on the NQ dataset [1].
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From the Hugging Face model README
-- This is the model checkpoint of FiD [2], based on the T5 (with 3B parameters) and trained on the NQ dataset [1].
-- Hyperparameters: 8 x 40GB A100 GPUs; batch size 8; AdamW; LR 3e-5; 30000 steps
References:
[1] Natural Questions: A Benchmark for Question Answering Research. TACL 2019.
[2] Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering. EACL 2021.
We evaluate it on the NQ dataset, the EM score is 50.6 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>