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GenRead-3B-WebQ
wyu1/GenRead-3B-WebQ
GenRead-3B-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 GenRead [2], based on the T5-3B 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
- Nov 30, 2022
- Updated
- Dec 1, 2022
- SHA
- ae624a58
Model card
From the Hugging Face model README
GenRead: FiD model trained on WebQ
-- This is the model checkpoint of GenRead [2], based on the T5-3B and trained on the WebQ dataset [1].
-- Hyperparameters: 8 x 80GB A100 GPUs; batch size 16; AdamW; LR 5e-5; best dev at 11500 steps.
References:
[1] Semantic parsing on freebase from question-answer pairs. EMNLP 2013.
[2] Generate rather than Retrieve: Large Language Models are Strong Context Generators. arXiv 2022
Model performance
We evaluate it on the WebQ dataset, the EM score is 54.36.
<a href="https://huggingface.co/exbert/?model=bert-base-uncased"> <img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png"> </a> --- license: cc-by-4.0 ---license: cc-by-4.0
- Library
- transformers
- Type
- t5
- License
- cc-by-4.0
- Created
- Nov 30, 2022
- Updated
- Dec 1, 2022