Librarian Bot: Add base_model information to model (#2)

- Librarian Bot: Add base_model information to model (4cbfc7d5ffc6f2aa73ddbc05ba616a68a48ff487)


Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>

README.md

@@ -1,4 +1,6 @@
 ---
+language:
+- en
 license: apache-2.0
 tags:
 - generated_from_trainer
@@ -9,12 +11,18 @@ metrics:
 - recall
 - f1
 - accuracy
+widget:
+- text: 'Hi! I am jack. I live in California and I work for Apple '
+  example_title: Example 1
+- text: 'Thi book is amazing! I bought it on Amazon for 4$. '
+  example_title: Example 2
+base_model: bert-base-cased
 model-index:
 - name: bert-finetuned-ner-ontonotes
   results:
   - task:
-      name: Token Classification
       type: token-classification
+      name: Token Classification
     dataset:
       name: ontonotes5
       type: ontonotes5
@@ -22,25 +30,18 @@ model-index:
       split: train
       args: ontonotes5
     metrics:
-    - name: Precision
-      type: precision
+    - type: precision
       value: 0.8567258883248731
-    - name: Recall
-      type: recall
+      name: Precision
+    - type: recall
       value: 0.8841595180407308
-    - name: F1
-      type: f1
+      name: Recall
+    - type: f1
       value: 0.8702265476459025
-    - name: Accuracy
-      type: accuracy
+      name: F1
+    - type: accuracy
       value: 0.9754933764288157
-widget:
-  - text: 'Hi! I am jack. I live in California and I work for Apple '
-    example_title: Example 1
-  - text: 'Thi book is amazing! I bought it on Amazon for 4$. '
-    example_title: Example 2
-language:
-- en
+      name: Accuracy
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You