Librarian Bot: Add base_model information to model

README.md

@@ -4,6 +4,16 @@ datasets:
 metrics:
 - f1
 - accuracy
+pipeline_tag: text-classification
+widget:
+- text: I'm sure the {@Tampa Bay Lightning@} would’ve rather faced the Flyers but
+    man does their experience versus the Blue Jackets this year and last help them
+    a lot versus this Islanders team. Another meat grinder upcoming for the good guys
+  example_title: Example 1
+- text: Love to take night time bike rides at the jersey shore. Seaside Heights boardwalk.
+    Beautiful weather. Wishing everyone a safe Labor Day weekend in the US.
+  example_title: Example 2
+base_model: roberta-base
 model-index:
 - name: cardiffnlp/roberta-base-tweet-topic-multi-all
   results:
@@ -13,24 +23,18 @@ model-index:
     dataset:
       name: cardiffnlp/tweet_topic_multi
       type: cardiffnlp/tweet_topic_multi
+      split: test_2021
       args: cardiffnlp/tweet_topic_multi
-      split: test_2021 
     metrics:
-    - name: F1
-      type: f1
+    - type: f1
       value: 0.7518142235123367
-    - name: F1 (macro)
-      type: f1_macro
+      name: F1
+    - type: f1_macro
       value: 0.6007824861922586
-    - name: Accuracy
-      type: accuracy
+      name: F1 (macro)
+    - type: accuracy
       value: 0.5318642048838594
-pipeline_tag: text-classification
-widget:
-- text: "I'm sure the {@Tampa Bay Lightning@} would’ve rather faced the Flyers but man does their experience versus the Blue Jackets this year and last help them a lot versus this Islanders team. Another meat grinder upcoming for the good guys"
-  example_title: "Example 1"
-- text: "Love to take night time bike rides at the jersey shore. Seaside Heights boardwalk. Beautiful weather. Wishing everyone a safe Labor Day weekend in the US." 
-  example_title: "Example 2"
+      name: Accuracy
 ---
 # cardiffnlp/roberta-base-tweet-topic-multi-all