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

- Librarian Bot: Add base_model information to model (d291600df31c50066d59734993bff4edc693b6fd)


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

README.md

@@ -1,13 +1,12 @@
 ---
+language:
+- ru
 license: apache-2.0
 tags:
 - generated_from_trainer
 - named-entity-recognition
 - russian
 - ner
-language:
-- ru
-thumbnail: "Sberbank RuBERT-base fintuned on Collection3 dataset"
 datasets:
 - RCC-MSU/collection3
 metrics:
@@ -15,12 +14,14 @@ metrics:
 - recall
 - f1
 - accuracy
+thumbnail: Sberbank RuBERT-base fintuned on Collection3 dataset
+base_model: sberbank-ai/ruBert-base
 model-index:
 - name: sberbank-rubert-base-collection3
   results:
   - task:
-      name: Token Classification
       type: token-classification
+      name: Token Classification
     dataset:
       name: RCC-MSU/collection3
       type: named-entity-recognition
@@ -28,21 +29,21 @@ model-index:
       split: validation
       args: default
     metrics:
-    - name: Precision
-      type: precision
+    - type: precision
       value: 0.938019472809309
-    - name: Recall
-      type: recall
+      name: Precision
+    - type: recall
       value: 0.9594364828758805
-    - name: F1
-      type: f1
+      name: Recall
+    - type: f1
       value: 0.9486071085494716
-    - name: Accuracy
-      type: accuracy
+      name: F1
+    - type: accuracy
       value: 0.9860420020488805
+      name: Accuracy
   - task:
-      name: Token Classification
       type: token-classification
+      name: Token Classification
     dataset:
       name: RCC-MSU/collection3
       type: named-entity-recognition
@@ -50,18 +51,18 @@ model-index:
       split: test
       args: default
     metrics:
-    - name: Precision
-      type: precision
+    - type: precision
       value: 0.9419896321895829
-    - name: Recall
-      type: recall
+      name: Precision
+    - type: recall
       value: 0.9537615596100975
-    - name: F1
-      type: f1
+      name: Recall
+    - type: f1
       value: 0.947839046199702
-    - name: Accuracy
-      type: accuracy
+      name: F1
+    - type: accuracy
       value: 0.9847255179564897
+      name: Accuracy
 ---
 
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