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 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

@@ -9,12 +9,13 @@ datasets:
 - hc3_multi_custom_ms_hg
 metrics:
 - f1
+base_model: xlm-roberta-base
 model-index:
 - name: xlmr-chatgptdetect-noisy
   results:
   - task:
-      name: Text Classification
       type: text-classification
+      name: Text Classification
     dataset:
       name: HC3 FULL_MULTI_1.0_0.5_0.5
       type: glue
@@ -22,9 +23,9 @@ model-index:
       split: vsl
       args: full_multi_1.0_0.5_0.5
     metrics:
-    - name: F1
-      type: f1
+    - type: f1
       value: 0.963274059512108
+      name: F1
 ---
 
 # xlmr-chatgptdetect-noisy