Librarian Bot: Add base_model information to model

README.md

@@ -5,76 +5,77 @@ metrics:
 - f1
 - precision
 - recall
+pipeline_tag: token-classification
+widget:
+- text: 'Get the all-analog Classic Vinyl Edition of `Takin'' Off` Album from {@herbiehancock@}
+    via {@bluenoterecords@} link below: {{URL}}'
+  example_title: NER Example 1
+base_model: cardiffnlp/twitter-roberta-base-dec2021
 model-index:
 - name: tner/twitter-roberta-base-dec2021-tweetner7-random
   results:
   - task:
-      name: Token Classification
       type: token-classification
+      name: Token Classification
     dataset:
       name: tner/tweetner7
       type: tner/tweetner7
       args: tner/tweetner7
     metrics:
-    - name: F1 (test_2021)
-      type: f1
+    - type: f1
       value: 0.6321284238886395
-    - name: Precision (test_2021)
-      type: precision
+      name: F1 (test_2021)
+    - type: precision
       value: 0.6142015706806283
-    - name: Recall (test_2021)
-      type: recall
+      name: Precision (test_2021)
+    - type: recall
       value: 0.6511332099907493
-    - name: Macro F1 (test_2021)
-      type: f1_macro
+      name: Recall (test_2021)
+    - type: f1_macro
       value: 0.583682304736069
-    - name: Macro Precision (test_2021)
-      type: precision_macro
+      name: Macro F1 (test_2021)
+    - type: precision_macro
       value: 0.5654677691354458
-    - name: Macro Recall (test_2021)
-      type: recall_macro
+      name: Macro Precision (test_2021)
+    - type: recall_macro
       value: 0.6047150410746663
-    - name: Entity Span F1 (test_2021)
-      type: f1_entity_span
+      name: Macro Recall (test_2021)
+    - type: f1_entity_span
       value: 0.7703620544484986
-    - name: Entity Span Precision (test_2020)
-      type: precision_entity_span
+      name: Entity Span F1 (test_2021)
+    - type: precision_entity_span
       value: 0.7484729493891797
-    - name: Entity Span Recall (test_2021)
-      type: recall_entity_span
+      name: Entity Span Precision (test_2020)
+    - type: recall_entity_span
       value: 0.7935700242858795
-    - name: F1 (test_2020)
-      type: f1
+      name: Entity Span Recall (test_2021)
+    - type: f1
       value: 0.6368775235531628
-    - name: Precision (test_2020)
-      type: precision
+      name: F1 (test_2020)
+    - type: precision
       value: 0.6616331096196868
-    - name: Recall (test_2020)
-      type: recall
+      name: Precision (test_2020)
+    - type: recall
       value: 0.6139076284379865
-    - name: Macro F1 (test_2020)
-      type: f1_macro
+      name: Recall (test_2020)
+    - type: f1_macro
       value: 0.5976605759407211
-    - name: Macro Precision (test_2020)
-      type: precision_macro
+      name: Macro F1 (test_2020)
+    - type: precision_macro
       value: 0.6177069721428509
-    - name: Macro Recall (test_2020)
-      type: recall_macro
+      name: Macro Precision (test_2020)
+    - type: recall_macro
       value: 0.5812570646484104
-    - name: Entity Span F1 (test_2020)
-      type: f1_entity_span
+      name: Macro Recall (test_2020)
+    - type: f1_entity_span
       value: 0.7542395693135936
-    - name: Entity Span Precision (test_2020)
-      type: precision_entity_span
+      name: Entity Span F1 (test_2020)
+    - type: precision_entity_span
       value: 0.7835570469798657
-    - name: Entity Span Recall (test_2020)
-      type: recall_entity_span
+      name: Entity Span Precision (test_2020)
+    - type: recall_entity_span
       value: 0.7270368448365335
-
-pipeline_tag: token-classification
-widget:
-- text: "Get the all-analog Classic Vinyl Edition of `Takin' Off` Album from {@herbiehancock@} via {@bluenoterecords@} link below: {{URL}}"
-  example_title: "NER Example 1"
+      name: Entity Span Recall (test_2020)
 ---
 # tner/twitter-roberta-base-dec2021-tweetner7-random