Librarian Bot: Add base_model information to model

README.md

@@ -4,6 +4,24 @@ datasets:
 metrics:
 - f1
 - accuracy
+pipeline_tag: text-classification
+widget:
+- text: Get the all-analog Classic Vinyl Edition of "Takin Off" Album from {@herbiehancock@}
+    via {@bluenoterecords@} link below {{URL}}
+  example_title: topic_classification 1
+- text: Yes, including Medicare and social security saving👍
+  example_title: sentiment 1
+- text: All two of them taste like ass.
+  example_title: offensive 1
+- text: If you wanna look like a badass, have drama on social media
+  example_title: irony 1
+- text: Whoever just unfollowed me you a bitch
+  example_title: hate 1
+- text: I love swimming for the same reason I love meditating...the feeling of weightlessness.
+  example_title: emotion 1
+- text: Beautiful sunset last night from the pontoon @TupperLakeNY
+  example_title: emoji 1
+base_model: cardiffnlp/twitter-roberta-base-dec2021
 model-index:
 - name: cardiffnlp/twitter-roberta-base-dec2021-sentiment
   results:
@@ -13,33 +31,17 @@ model-index:
     dataset:
       name: tweet_eval
       type: sentiment
-      split: test 
+      split: test
     metrics:
-    - name: Micro F1 (tweet_eval/sentiment)
-      type: micro_f1_tweet_eval/sentiment
+    - type: micro_f1_tweet_eval/sentiment
       value: 0.7128785411917942
-    - name: Macro F1 (tweet_eval/sentiment)
-      type: micro_f1_tweet_eval/sentiment
+      name: Micro F1 (tweet_eval/sentiment)
+    - type: micro_f1_tweet_eval/sentiment
       value: 0.7149679965048391
-    - name: Accuracy (tweet_eval/sentiment)
-      type: accuracy_tweet_eval/sentiment
+      name: Macro F1 (tweet_eval/sentiment)
+    - type: accuracy_tweet_eval/sentiment
       value: 0.7128785411917942
-pipeline_tag: text-classification
-widget:
-- text: Get the all-analog Classic Vinyl Edition of "Takin Off" Album from {@herbiehancock@} via {@bluenoterecords@} link below {{URL}}
-  example_title: "topic_classification 1" 
-- text: Yes, including Medicare and social security saving👍
-  example_title: "sentiment 1" 
-- text: All two of them taste like ass.
-  example_title: "offensive 1" 
-- text: If you wanna look like a badass, have drama on social media
-  example_title: "irony 1" 
-- text: Whoever just unfollowed me you a bitch
-  example_title: "hate 1" 
-- text: I love swimming for the same reason I love meditating...the feeling of weightlessness.
-  example_title: "emotion 1" 
-- text: Beautiful sunset last night from the pontoon @TupperLakeNY
-  example_title: "emoji 1" 
+      name: Accuracy (tweet_eval/sentiment)
 ---
 # cardiffnlp/twitter-roberta-base-dec2021-sentiment