Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`indobenchmark/indobert-base-p1`](https://huggingface.co./indobenchmark/indobert-base-p1) 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

@@ -1,4 +1,6 @@
 ---
+language:
+- id
 license: mit
 tags:
 - generated_from_trainer
@@ -7,12 +9,17 @@ datasets:
 metrics:
 - accuracy
 - f1
+pipeline_tag: text-classification
+widget:
+- text: Kalo kamu WFH emang kerja?
+- text: buku ini kurang bagus isinya
+base_model: indobenchmark/indobert-base-p1
 model-index:
 - name: Fine-tuned-Indonesian-Sentiment-Classifier
   results:
   - task:
-      name: Text Classification
       type: text-classification
+      name: Text Classification
     dataset:
       name: indonlu
       type: indonlu
@@ -20,19 +27,12 @@ model-index:
       split: validation
       args: smsa
     metrics:
-    - name: Accuracy
-      type: accuracy
+    - type: accuracy
       value: 0.9317460317460318
-    - name: F1
-      type: f1
+      name: Accuracy
+    - type: f1
       value: 0.9034223843742829
-language:
-- id
-pipeline_tag: text-classification
-
-widget:
-- text: "Kalo kamu WFH emang kerja?"
-- text: "buku ini kurang bagus isinya"
+      name: F1
 ---
 
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