Update README.md

README.md

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   results: []
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-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
 # mt5-small_test_45
 
-This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
+This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an enhanced version of the Natural Questions dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.7291
 - Rouge1: 44.4366
@@ -32,11 +29,20 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+This model is fine-tuned for long-form, closed-domain question answering - question-answering from context. It uses a heavily refined version of Google's Natural Questions dataset.
+
+Answers to the questions were rewritten using OpenAI's GPT-3.5 Turbo model.
+
+Please see [the following repo](https://github.com/pointonjoel/MSc-Diss) for all code and adaptations.
 
 ## Intended uses & limitations
 
-More information needed
+The model requires questions to be submitted using the following format using the input message:
+\[CONTEXT\] <\s> \[QUESTION\]
+
+It is trained to respond appropriately when a question cannot be answered using the provided context.
+
+It can give false negatives and false positives on occasion (see Training Results), and all answers must be checked appropriately.
 
 ## Training and evaluation data