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

@@ -17,7 +17,24 @@ datasets:
 metrics:
 - Slot Error Rate
 - sacrebleu
-
+widget:
+- text: 'multiwoz21: user: I would like a taxi from Saint John''s college to Pizza
+    Hut Fen Ditton.'
+  example_title: MultiWOZ 2.1
+- text: 'sgd: user: Could you get me a reservation at P.f. Chang''s in Corte Madera
+    at afternoon 12?'
+  example_title: Schema-Guided Dialog
+- text: 'tm1: user: I would like to order a pizza from Domino''s.'
+  example_title: Taskmaster-1
+- text: 'tm2: user: I would like help getting a flight from LA to Amsterdam.'
+  example_title: Taskmaster-2
+- text: 'tm3: user: Well, I need a kids friendly movie. I was thinking about seeing
+    Mulan.'
+  example_title: Taskmaster-3
+inference:
+  parameters:
+    max_length: 100
+base_model: t5-small
 model-index:
 - name: t5-small-nlu-multiwoz21_sgd_tm1_tm2_tm3
   results:
@@ -25,63 +42,46 @@ model-index:
       type: text2text-generation
       name: natural language understanding
     dataset:
-      type: ConvLab/multiwoz21
       name: MultiWOZ 2.1
+      type: ConvLab/multiwoz21
       split: test
       revision: 5f55375edbfe0270c20bcf770751ad982c0e6614
     metrics:
-      - type: Dialog acts Accuracy
-        value: 77.5
-        name: Accuracy
-      - type: Dialog acts F1
-        value: 86.4
-        name: F1
+    - type: Dialog acts Accuracy
+      value: 77.5
+      name: Accuracy
+    - type: Dialog acts F1
+      value: 86.4
+      name: F1
   - task:
       type: text2text-generation
       name: natural language understanding
     dataset:
-      type: ConvLab/sgd
       name: SGD
+      type: ConvLab/sgd
       split: test
       revision: 6e8c79b888b21cc658cf9c0ce128d263241cf70f
     metrics:
-      - type: Dialog acts Accuracy
-        value: 45.2
-        name: Accuracy
-      - type: Dialog acts F1
-        value: 58.6
-        name: F1
+    - type: Dialog acts Accuracy
+      value: 45.2
+      name: Accuracy
+    - type: Dialog acts F1
+      value: 58.6
+      name: F1
   - task:
       type: text2text-generation
       name: natural language understanding
     dataset:
-      type: ConvLab/tm1, ConvLab/tm2, ConvLab/tm3
       name: TM1+TM2+TM3
+      type: ConvLab/tm1, ConvLab/tm2, ConvLab/tm3
       split: test
     metrics:
-      - type: Dialog acts Accuracy
-        value: 81.8
-        name: Accuracy
-      - type: Dialog acts F1
-        value: 73.0
-        name: F1
-
-widget:
-- text: "multiwoz21: user: I would like a taxi from Saint John's college to Pizza Hut Fen Ditton."
-  example_title: "MultiWOZ 2.1"
-- text: "sgd: user: Could you get me a reservation at P.f. Chang's in Corte Madera at afternoon 12?"
-  example_title: "Schema-Guided Dialog"
-- text: "tm1: user: I would like to order a pizza from Domino's."
-  example_title: "Taskmaster-1"
-- text: "tm2: user: I would like help getting a flight from LA to Amsterdam."
-  example_title: "Taskmaster-2"
-- text: "tm3: user: Well, I need a kids friendly movie. I was thinking about seeing Mulan."
-  example_title: "Taskmaster-3"
-
-inference:
-  parameters:
-    max_length: 100
-
+    - type: Dialog acts Accuracy
+      value: 81.8
+      name: Accuracy
+    - type: Dialog acts F1
+      value: 73.0
+      name: F1
 ---
 
 # t5-small-nlu-multiwoz21_sgd_tm1_tm2_tm3