Librarian Bot: Add base_model information to model

README.md

@@ -9,29 +9,30 @@ metrics:
 - recall
 - f1
 - accuracy
+base_model: microsoft/deberta-base
 model-index:
 - name: deberta-finetuned-ner
   results:
   - task:
-      name: Token Classification
       type: token-classification
+      name: Token Classification
     dataset:
       name: conll2003
       type: conll2003
       args: conll2003
     metrics:
-    - name: Precision
-      type: precision
+    - type: precision
       value: 0.9577488309953239
-    - name: Recall
-      type: recall
+      name: Precision
+    - type: recall
       value: 0.9651632446987546
-    - name: F1
-      type: f1
+      name: Recall
+    - type: f1
       value: 0.961441743503772
-    - name: Accuracy
-      type: accuracy
+      name: F1
+    - type: accuracy
       value: 0.9907182964622135
+      name: Accuracy
   - task:
       type: token-classification
       name: Token Classification
@@ -41,25 +42,25 @@ model-index:
       config: conll2003
       split: test
     metrics:
-    - name: Accuracy
-      type: accuracy
+    - type: accuracy
       value: 0.9108823919384779
+      name: Accuracy
       verified: true
-    - name: Precision
-      type: precision
+    - type: precision
       value: 0.9308372971460548
+      name: Precision
       verified: true
-    - name: Recall
-      type: recall
+    - type: recall
       value: 0.9213792387183881
+      name: Recall
       verified: true
-    - name: F1
-      type: f1
+    - type: f1
       value: 0.9260841198729938
+      name: F1
       verified: true
-    - name: loss
-      type: loss
+    - type: loss
       value: 0.8661637306213379
+      name: loss
       verified: true
 ---