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-v2`](https://huggingface.co/cl-tohoku/bert-base-japanese-v2) 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

@@ -1,5 +1,5 @@
 ---
-language: 
+language:
 - ja
 license: cc-by-sa-4.0
 tags:
@@ -7,13 +7,14 @@ tags:
 - text-classification
 - nli
 - pytorch
-metrics:
-- accuracy
 datasets:
 - JSNLI
+metrics:
+- accuracy
 pipeline_tag: text-classification
 widget:
-- text: "あなたが好きです。 あなたを愛しています。"
+- text: あなたが好きです。 あなたを愛しています。
+base_model: cl-tohoku/bert-base-japanese-v2
 model-index:
 - name: bert-base-japanese-jsnli
   results:
@@ -21,13 +22,13 @@ model-index:
       type: text-classification
       name: Natural Language Inference
     dataset:
+      name: JSNLI
       type: snli
-      name: JSNLI 
       split: dev
     metrics:
-      - type: accuracy
-        value: 0.9288
-        verified: false
+    - type: accuracy
+      value: 0.9288
+      verified: false
 ---
 # bert-base-japanese-jsnli