Update README.md

README.md

@@ -1,3 +1,32 @@
 ---
 license: cc-by-sa-3.0
+datasets:
+- kilt_tasks
+metrics:
+- exact_match
+pipeline_tag: text-generation
+model-index:
+- name: results
+  results:
+  - task:
+      name: Question Answering
+      type: text-generation
+    dataset:
+      name: kilt_tasks
+      type: kilt_tasks
+      args: nq
+    metrics:
+    - name: Exact Macth
+      type: exact_match
+      value: 59.01
 ---
+
+# 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.
+
+# Model Details
+
+Model is based on Fusion-In-Decoder, which in turn is based around the t5-base architecture. For training, we utilized text retrieval for each query, which provides a collection of relevant and non relevant passages.
+
+We note that the passages were retrieved using a corpus based on Wikipeida.