Librarian Bot: Add base_model information to model

README.md

@@ -6,12 +6,22 @@ datasets:
 - winograd_wsc
 metrics:
 - rouge
+widget:
+- text: Sam has a Parker pen. He loves writing with it.
+  example_title: Example 1
+- text: Coronavirus quickly spread worldwide in 2020. The virus mostly affects elderly
+    people. They can easily catch it.
+  example_title: Example 2
+- text: First, the manager evaluates the candidates. Afterwards, he notifies the candidates
+    regarding the evaluation.
+  example_title: Example 3
+base_model: google/flan-t5-small
 model-index:
 - name: flan-t5-small-coref
   results:
   - task:
-      name: Sequence-to-sequence Language Modeling
       type: text2text-generation
+      name: Sequence-to-sequence Language Modeling
     dataset:
       name: winograd_wsc
       type: winograd_wsc
@@ -19,16 +29,9 @@ model-index:
       split: test
       args: wsc285
     metrics:
-    - name: Rouge1
-      type: rouge
+    - type: rouge
       value: 0.906
-widget:
-- text: "Sam has a Parker pen. He loves writing with it."
-  example_title: "Example 1"
-- text: "Coronavirus quickly spread worldwide in 2020. The virus mostly affects elderly people. They can easily catch it."
-  example_title: "Example 2"
-- text: "First, the manager evaluates the candidates. Afterwards, he notifies the candidates regarding the evaluation."
-  example_title: "Example 3"
+      name: Rouge1
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You