Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`sberbank-ai/ruBert-base`](https://huggingface.co/sberbank-ai/ruBert-base) as a `base_model` field, situated in the `YAML` block of your model's `README.md`.

How did we find this information? We performed a regular expression match on your `README.md` file to determine the connection.

**Why add this?** Enhancing your model's metadata in this way:
- **Boosts Discoverability** - It becomes straightforward to trace the relationships between various models on the Hugging Face Hub.
- **Highlights Impact** - It showcases the contributions and influences different models have within the community.

For a hands-on example of how such metadata can play a pivotal role in mapping model connections, take a look at [librarian-bots/base_model_explorer](https://huggingface.co/spaces/librarian-bots/base_model_explorer).

This PR comes courtesy of [Librarian Bot](https://huggingface.co/librarian-bot). If you have any feedback, queries, or need assistance, please don't hesitate to reach out to [@davanstrien](https://huggingface.co/davanstrien).

If you want to automatically add `base_model` metadata to more of your modes you can use the [Librarian Bot](https://huggingface.co/librarian-bot) [Metadata Request Service](https://huggingface.co/spaces/librarian-bots/metadata_request_service)!

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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