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README.md

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+# FiD model trained on NQ
+
+-- 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. 
+
+## Model performance 
+
+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>
+