Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`neuralmind/bert-base-portuguese-cased`](https://huggingface.co/neuralmind/bert-base-portuguese-cased) 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

@@ -1,6 +1,6 @@
 ---
-license: apache-2.0
 language: pt
+license: apache-2.0
 library_name: transformers
 tags:
 - extractive-qa
@@ -8,7 +8,7 @@ datasets:
 - eraldoluis/faquad
 metrics:
 - squad
-
+base_model: neuralmind/bert-base-portuguese-cased
 model-index:
 - name: faquad-bert-base-portuguese-cased
   results:
@@ -16,18 +16,18 @@ model-index:
       type: extractive-qa
       name: Extractive Question-Answering
     dataset:
-      type: eraldoluis/faquad
       name: FaQuAD
+      type: eraldoluis/faquad
       split: eval
     metrics:
-      - type: f1
-        value: 83.0912959832023
-        name: Eval F1 score (squad metric)
-        verified: false
-      - type: exact_match
-        value: 74.53169347209082
-        name: Eval ExactMatch score (squad metric)
-        verified: false
+    - type: f1
+      value: 83.0912959832023
+      name: Eval F1 score (squad metric)
+      verified: false
+    - type: exact_match
+      value: 74.53169347209082
+      name: Eval ExactMatch score (squad metric)
+      verified: false
 ---
 
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