Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`cl-tohoku/bert-base-japanese-whole-word-masking`](https://huggingface.co/cl-tohoku/bert-base-japanese-whole-word-masking) 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). Your input is invaluable to us!

README.md

@@ -1,28 +1,27 @@
 ---
-license: cc-by-sa-4.0
 language: ja
+license: cc-by-sa-4.0
 tags:
 - generated_from_trainer
 - text-classification
-
 metrics:
 - accuracy
-
 widget:
-- text: "💪(^ω^ 🍤)"
-  example_title: "Facemark 1"
-- text: "(੭ु∂∀6)੭ु⁾⁾ ஐ•*¨*•.¸¸"
-  example_title: "Facemark 2"
-- text: ":-P"
-  example_title: "Facemark 3"
-- text: "(o.o)"
-  example_title: "Facemark 4"
-- text: "（10/7~）"
-  example_title: "Non-facemark 1"
-- text: "？？＜＜「ﾆｬｱ(しゃーねぇな)」ﾌﾟｲｯ"
-  example_title: "Non-facemark 2"
-- text: "(0.01)"
-  example_title: "Non-facemark 3"
+- text: 💪(^ω^ 🍤)
+  example_title: Facemark 1
+- text: (੭ु∂∀6)੭ु⁾⁾ ஐ•*¨*•.¸¸
+  example_title: Facemark 2
+- text: :-P
+  example_title: Facemark 3
+- text: (o.o)
+  example_title: Facemark 4
+- text: （10/7~）
+  example_title: Non-facemark 1
+- text: ？？＜＜「ﾆｬｱ(しゃーねぇな)」ﾌﾟｲｯ
+  example_title: Non-facemark 2
+- text: (0.01)
+  example_title: Non-facemark 3
+base_model: cl-tohoku/bert-base-japanese-whole-word-masking
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You