Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`google/t5-v1_1-base`](https://huggingface.co/google/t5-v1_1-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

@@ -1,7 +1,7 @@
 ---
-license: apache-2.0
 language:
 - en
+license: apache-2.0
 tags:
 - t5
 - qa
@@ -13,17 +13,20 @@ datasets:
 metrics:
 - rouge
 widget:
-- text: "why hasn't humanity expanded to live on other planets in our solar system?"
-  example_title: "solar system"
-- text: "question: what is a probability distribution? context: I am just learning about statistics."
-  example_title: "probability distribution"
-- text: "question: What are the underlying physical processes by which exercise helps us lose weight? context: I started working out two weeks ago and already feel a lot better, and started to think about it and became deeply confused."
-  example_title: "pumpen"
-- text: "what is a neural network?"
-  example_title: "deep learning"
-- text: "What is the process that computers use to understand human language in deep learning models?"
-  example_title: "NLP"
-  
+- text: why hasn't humanity expanded to live on other planets in our solar system?
+  example_title: solar system
+- text: 'question: what is a probability distribution? context: I am just learning
+    about statistics.'
+  example_title: probability distribution
+- text: 'question: What are the underlying physical processes by which exercise helps
+    us lose weight? context: I started working out two weeks ago and already feel
+    a lot better, and started to think about it and became deeply confused.'
+  example_title: pumpen
+- text: what is a neural network?
+  example_title: deep learning
+- text: What is the process that computers use to understand human language in deep
+    learning models?
+  example_title: NLP
 inference:
   parameters:
     max_length: 64
@@ -32,8 +35,8 @@ inference:
     repetition_penalty: 3.51
     length_penalty: 0.8
     num_beams: 4
-    early_stopping: True
-    
+    early_stopping: true
+base_model: google/t5-v1_1-base
 ---