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  # GenRead: FiD model trained on NQ
  
  -- This is the model checkpoint of GenRead [2], based on the T5-3B and trained on the NQ dataset [1]. 
  
  -- Hyperparameters: 8 x 80GB A100 GPUs; batch size 16; AdamW; LR 5e-5; best dev at 14000 steps.
  
  References: 
  
  [1] Natural Questions: A Benchmark for Question Answering Research. TACL 2019. 
  
  [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 45.55.
  
  
  <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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