Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`microsoft/layoutlmv3-base`](https://huggingface.co/microsoft/layoutlmv3-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

@@ -3,41 +3,42 @@ tags:
 - generated_from_trainer
 datasets:
 - nielsr/funsd-layoutlmv3
-pipeline_tag: object-detection
-widget:
-- src: "https://huggingface.co/spaces/impira/docquery/resolve/2359223c1837a7587402bda0f2643382a6eefeab/invoice.png"
-  example_title: invoice
-- src: "https://huggingface.co/spaces/impira/docquery/resolve/2359223c1837a7587402bda0f2643382a6eefeab/contract.jpeg"
-  example_title: contract
 metrics:
 - precision
 - recall
 - f1
 - accuracy
+pipeline_tag: object-detection
+widget:
+- src: https://huggingface.co/spaces/impira/docquery/resolve/2359223c1837a7587402bda0f2643382a6eefeab/invoice.png
+  example_title: invoice
+- src: https://huggingface.co/spaces/impira/docquery/resolve/2359223c1837a7587402bda0f2643382a6eefeab/contract.jpeg
+  example_title: contract
+duplicated_from: nielsr/layoutlmv3-finetuned-funsd
+base_model: microsoft/layoutlmv3-base
 model-index:
 - name: layoutlmv3-finetuned-funsd
   results:
   - task:
-      name: Token Classification
       type: token-classification
+      name: Token Classification
     dataset:
       name: nielsr/funsd-layoutlmv3
       type: nielsr/funsd-layoutlmv3
       args: funsd
     metrics:
-    - name: Precision
-      type: precision
+    - type: precision
       value: 0.9026198714780029
-    - name: Recall
-      type: recall
+      name: Precision
+    - type: recall
       value: 0.913
-    - name: F1
-      type: f1
+      name: Recall
+    - type: f1
       value: 0.9077802634849614
-    - name: Accuracy
-      type: accuracy
+      name: F1
+    - type: accuracy
       value: 0.8330271015158475
-duplicated_from: nielsr/layoutlmv3-finetuned-funsd
+      name: Accuracy
 ---
 
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