Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`dkleczek/bert-base-polish-cased-v1`](https://huggingface.co/dkleczek/bert-base-polish-cased-v1) 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

@@ -1,37 +1,32 @@
 ---
-language: 
-  - pl
-
-pipeline_tag: text-classification
-
-widget:
-- text: "Przykro patrzeć, a słuchać się nie da."
-  example_title: "example 1"
-- text: "Oczywiście ze Pan Prezydent to nasza duma narodowa!!"
-  example_title: "example 2"
-  
+language:
+- pl
 tags:
-  - text
-  - sentiment
-  - politics
-
+- text
+- sentiment
+- politics
 metrics:
-  - accuracy 
-  - f1
-
+- accuracy
+- f1
+pipeline_tag: text-classification
+widget:
+- text: Przykro patrzeć, a słuchać się nie da.
+  example_title: example 1
+- text: Oczywiście ze Pan Prezydent to nasza duma narodowa!!
+  example_title: example 2
+base_model: dkleczek/bert-base-polish-cased-v1
 model-index:
 - name: PaReS-sentimenTw-political-PL
   results:
   - task:
-      type: sentiment-classification             # Required. Example: automatic-speech-recognition
-      name: Text Classification            # Optional. Example: Speech Recognition
+      type: sentiment-classification
+      name: Text Classification
     dataset:
-      type: tweets          # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
-      name: tweets_2020_electionsPL          # Required. A pretty name for the dataset. Example: Common Voice (French)
+      name: tweets_2020_electionsPL
+      type: tweets
     metrics:
-      - type: f1          # Required. Example: wer. Use metric id from https://hf.co/metrics
-        value: 94.4       # Required. Example: 20.90
-
+    - type: f1
+      value: 94.4
 ---
 
 # PaReS-sentimenTw-political-PL