README.md

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license: cc-by-4.0
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# 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>