Librarian Bot: Add base_model information to model

README.md

@@ -15,28 +15,30 @@ metrics:
 - precision
 - recall
 widget:
-- text: "$LOW - Lowe's racks up another positive rating despite recession risk"
-  example_title: "Bullish Sentiment"
-- text: "$HNHAF $HNHPD $AAPL - Trendforce cuts iPhone estimate after Foxconn delay"
-  example_title: "Bearish Sentiment"
-- text: "Coin Toss: Morgan Stanley Raises Tesla Bull Case To $500, Keeps Bear Case At $10"
-  example_title: "Neutral Sentiment"
+- text: $LOW - Lowe's racks up another positive rating despite recession risk
+  example_title: Bullish Sentiment
+- text: $HNHAF $HNHPD $AAPL - Trendforce cuts iPhone estimate after Foxconn delay
+  example_title: Bearish Sentiment
+- text: 'Coin Toss: Morgan Stanley Raises Tesla Bull Case To $500, Keeps Bear Case
+    At $10'
+  example_title: Neutral Sentiment
+base_model: yiyanghkust/finbert-tone
 model-index:
 - name: finbert-tone-finetuned-fintwitter-classification
   results:
   - task:
-      name: Text Classification
       type: text-classification
+      name: Text Classification
     dataset:
       name: twitter-financial-news-sentiment
       type: finance
     metrics:
     - type: F1
-      name: F1
       value: 0.8838
+      name: F1
     - type: accuracy
+      value: 0.884
       name: accuracy
-      value: 0.8840
 ---
 
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