Librarian Bot: Add base_model information to model

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

@@ -13,7 +13,20 @@ datasets:
 metrics:
 - Slot Error Rate
 - sacrebleu
+widget:
+- text: '[request][taxi]([leave at][],[arrive by][])
+
+
+    system: '
+- text: '[inform][restaurant]([area][centre],[food][Indian],[choice][nine]);[request][restaurant]([price
+    range][])
+
 
+    system: '
+inference:
+  parameters:
+    max_length: 100
+base_model: t5-small
 model-index:
 - name: t5-small-nlg-multiwoz21
   results:
@@ -21,26 +34,17 @@ model-index:
       type: text2text-generation
       name: natural language generation
     dataset:
-      type: ConvLab/multiwoz21
       name: MultiWOZ 2.1
+      type: ConvLab/multiwoz21
       split: test
       revision: 5f55375edbfe0270c20bcf770751ad982c0e6614
     metrics:
-      - type: Slot Error Rate
-        value: 3.7
-        name: SER
-      - type: sacrebleu
-        value: 35.8
-        name: BLEU
-
-widget:
-- text: "[request][taxi]([leave at][],[arrive by][])\n\nsystem: "
-- text: "[inform][restaurant]([area][centre],[food][Indian],[choice][nine]);[request][restaurant]([price range][])\n\nsystem: "
-
-inference:
-  parameters:
-    max_length: 100
-
+    - type: Slot Error Rate
+      value: 3.7
+      name: SER
+    - type: sacrebleu
+      value: 35.8
+      name: BLEU
 ---
 
 # t5-small-nlg-multiwoz21