Update README.md

README.md

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 # Fusion-In-Decoder Base on Natural Questions
 
-This trained model is based on the Fusion-In-Decoder model, and trained on the Natural Questions dataset.
+This trained model is based on the [Fusion-In-Decoder](https://arxiv.org/abs/2007.01282) model, and trained on the [Natural Questions](https://huggingface.co/datasets/natural_questions) dataset.
 
 # Model Details
 
-Model is based on Fusion-In-Decoder, which in turn is based on the t5-large checkpoint. For training, we utilized text retrieval for each query, which provides a collection of relevant passages for it.
+Model is based on Fusion-In-Decoder, which in turn is based on the google/flan-t5-large checkpoint as the base model. For training, we utilized text retrieval for each query, which provides a collection of relevant passages for it.
 
-We note that the passages were retrieved using a corpus based on Wikipeida.
+We note that the passages were retrieved using a corpus based on [Wikipedia](https://huggingface.co/datasets/wiki_dpr).
+
+# Evaluation
+
+See model performance on Evaluation Results tab on the right side.