Librarian Bot: Add base_model information to model

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

How did we find this information? We extracted this infromation from the `adapter_config.json` file of your model.

**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

@@ -27,28 +27,29 @@ tags:
 - LoRA
 - language-detection
 - xlm-roberta-base
+datasets:
+- papluca/language-identification
 metrics:
 - accuracy
 - f1
-datasets:
-  - papluca/language-identification
-model-index:
-  - name: xlm-roberta-base-lora-language-detection
-    results:
-      - task:
-          type: text-classification
-          name: Text Classification
-        dataset:
-          type: papluca/language-identification
-          name: papluca/language-identification
-        metrics:
-          - type: accuracy
-            value: 99.43
-            name: Accuracy
-          - type: f1
-            value: 99.43
-            name: F1 Score
 inference: false
+base_model: xlm-roberta-base
+model-index:
+- name: xlm-roberta-base-lora-language-detection
+  results:
+  - task:
+      type: text-classification
+      name: Text Classification
+    dataset:
+      name: papluca/language-identification
+      type: papluca/language-identification
+    metrics:
+    - type: accuracy
+      value: 99.43
+      name: Accuracy
+    - type: f1
+      value: 99.43
+      name: F1 Score
 ---
 
 # xlm-roberta-base-lora-language-detection