Librarian Bot: Add base_model information to model

README.md

@@ -5,49 +5,49 @@ metrics:
 - f1
 - precision
 - recall
+pipeline_tag: token-classification
+widget:
+- text: Jacob Collier is a Grammy awarded artist from England.
+  example_title: NER Example 1
+base_model: roberta-large
 model-index:
 - name: tner/roberta-large-mit-movie-trivia
   results:
   - task:
-      name: Token Classification
       type: token-classification
+      name: Token Classification
     dataset:
       name: tner/mit_movie_trivia
       type: tner/mit_movie_trivia
       args: tner/mit_movie_trivia
     metrics:
-    - name: F1
-      type: f1
+    - type: f1
       value: 0.7284025200655909
-    - name: Precision
-      type: precision
+      name: F1
+    - type: precision
       value: 0.7151330283002881
-    - name: Recall
-      type: recall
+      name: Precision
+    - type: recall
       value: 0.7421737601125572
-    - name: F1 (macro)
-      type: f1_macro
+      name: Recall
+    - type: f1_macro
       value: 0.6502255723148889
-    - name: Precision (macro)
-      type: precision_macro
+      name: F1 (macro)
+    - type: precision_macro
       value: 0.6457158565124362
-    - name: Recall (macro)
-      type: recall_macro
+      name: Precision (macro)
+    - type: recall_macro
       value: 0.6578012664661943
-    - name: F1 (entity span)
-      type: f1_entity_span
+      name: Recall (macro)
+    - type: f1_entity_span
       value: 0.749525289142068
-    - name: Precision (entity span)
-      type: precision_entity_span
+      name: F1 (entity span)
+    - type: precision_entity_span
       value: 0.7359322033898306
-    - name: Recall (entity span)
-      type: recall_entity_span
+      name: Precision (entity span)
+    - type: recall_entity_span
       value: 0.7636299683432993
-
-pipeline_tag: token-classification
-widget:
-- text: "Jacob Collier is a Grammy awarded artist from England."
-  example_title: "NER Example 1"
+      name: Recall (entity span)
 ---
 # tner/roberta-large-mit-movie-trivia