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license: cc-by-4.0
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# GenRead: FiD model trained on TQA
-- This is the model checkpoint of GenRead [2], based on the T5-3B and trained on the TriviaQA [1].
-- Hyperparameters: 8 x 80GB A100 GPUs; batch size 16; AdamW; LR 6e-5; best dev at 8500 steps
References:
[1] TriviaQA: A Large Scale Dataset for Reading Comprehension and Question Answering. ACL 2017
[2] Generate rather than Retrieve: Large Language Models are Strong Context Generators. arXiv 2022
## Model performance
We evaluate it on the TriviaQA dataset, the EM score is 71.55.
<a href="https://huggingface.co/exbert/?model=bert-base-uncased">
<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
</a>
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license: cc-by-4.0
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