Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`yuchenlin/BART0pp`](https://huggingface.co/yuchenlin/BART0pp) 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

@@ -2,17 +2,44 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
+widget:
+- text: "Instruction: Edit the provided response into a response that is fluent and\
+    \ coherent to the dialogue context. \n\nInput: [CONTEXT] How may I help you? [ENDOFTURN]\
+    \ I left a suitcase on the train to London the other day. [RESPONSE] Can describe\
+    \ itit , sir ? It will help us find [ENDOFDIALOGUE] [QUESTION] Given this context\
+    \ and response provided, the edited response is"
+- text: "Instruction: Generate a response that starts with the provided initial phrase.\
+    \ \n\nInput: [INITIAL_PHRASE] Please describe [CONTEXT] How may I help you? [ENDOFTURN]\
+    \ I left a suitcase on the train to London the other day. [ENDOFDIALOGUE] [QUESTION]\
+    \ A response with the provided initial phrase is"
+- text: "Instruction: Generate a response that starts with the provided initial phrase\
+    \ and contains the provided keywords. \n\nInput: [INITIAL PHRASE] Please describe\
+    \ [KEYWORDS] color, any documents [CONTEXT] How may I help you? [ENDOFTURN] I\
+    \ left a suitcase on the train to London the other day. [ENDOFDIALOGUE] [QUESTION]\
+    \ A response with the provided initial phrase and keywords is"
+- text: "Instruction: What is the intent of the response \n\nInput: [CONTEXT] How\
+    \ may I help you? [RESPONSE] I left a suitcase on the train to London the other\
+    \ day. [ENDOFDIALOGUE] [OPTIONS] booking, reservation change, checkout, lost&found,\
+    \ time information, security, schedules [QUESTION] The intent of the response\
+    \ is"
+- text: "Instruction: Generate a summary for the following dialog context. \n\nInput:\
+    \ [CONTEXT] Ann: Wanna go out? [ENDOFTURN] Kate: Not really, I feel sick. [ENDOFTURN]\
+    \ Ann: Drink mint tea, they say it helps. Ok, so we'll meet up another time. Take\
+    \ care! [ENDOFTURN] Kate: Thanks! [ENDOFDIALOGUE] [QUESTION] For this dialogue,\
+    \ the summary is: "
+- text: "Instruction: Consider the context of the conversation and a document and\
+    \ generate an answer accordingly \n\nInput:  [CONTEXT] How may I help you? [ENDOFTURN]\
+    \ I left a suitcase on the train to London the other day. [ENDOFDIALOGUE] [QUESTION]\
+    \ What is the response of the following question: Where was the person going to?"
+- text: "Instruction: Generate a response using the provided background knowledge.\
+    \ \n\nInput: [KNOWLEDGE] Emailid for cases related to lost and found is x@gmail.com\
+    \ [CONTEXT] How may I help you? [ENDOFTURN] I left a suitcase on the train to\
+    \ London the other day. [ENDOFDIALOGUE] [QUESTION] Generate a response using the\
+    \ information from the background knowledge."
+base_model: yuchenlin/BART0pp
 model-index:
 - name: DIAL_BART0
   results: []
-widget:
- - text: "Instruction: Edit the provided response into a response that is fluent and coherent to the dialogue context. \n\nInput: [CONTEXT] How may I help you? [ENDOFTURN] I left a suitcase on the train to London the other day. [RESPONSE] Can describe itit , sir ? It will help us find [ENDOFDIALOGUE] [QUESTION] Given this context and response provided, the edited response is"
- - text: "Instruction: Generate a response that starts with the provided initial phrase. \n\nInput: [INITIAL_PHRASE] Please describe [CONTEXT] How may I help you? [ENDOFTURN] I left a suitcase on the train to London the other day. [ENDOFDIALOGUE] [QUESTION] A response with the provided initial phrase is"
- - text: "Instruction: Generate a response that starts with the provided initial phrase and contains the provided keywords. \n\nInput: [INITIAL PHRASE] Please describe [KEYWORDS] color, any documents [CONTEXT] How may I help you? [ENDOFTURN] I left a suitcase on the train to London the other day. [ENDOFDIALOGUE] [QUESTION] A response with the provided initial phrase and keywords is"
- - text: "Instruction: What is the intent of the response \n\nInput: [CONTEXT] How may I help you? [RESPONSE] I left a suitcase on the train to London the other day. [ENDOFDIALOGUE] [OPTIONS] booking, reservation change, checkout, lost&found, time information, security, schedules [QUESTION] The intent of the response is"
- - text: "Instruction: Generate a summary for the following dialog context. \n\nInput: [CONTEXT] Ann: Wanna go out? [ENDOFTURN] Kate: Not really, I feel sick. [ENDOFTURN] Ann: Drink mint tea, they say it helps. Ok, so we'll meet up another time. Take care! [ENDOFTURN] Kate: Thanks! [ENDOFDIALOGUE] [QUESTION] For this dialogue, the summary is: "
- - text: "Instruction: Consider the context of the conversation and a document and generate an answer accordingly \n\nInput:  [CONTEXT] How may I help you? [ENDOFTURN] I left a suitcase on the train to London the other day. [ENDOFDIALOGUE] [QUESTION] What is the response of the following question: Where was the person going to?"
- - text: "Instruction: Generate a response using the provided background knowledge. \n\nInput: [KNOWLEDGE] Emailid for cases related to lost and found is x@gmail.com [CONTEXT] How may I help you? [ENDOFTURN] I left a suitcase on the train to London the other day. [ENDOFDIALOGUE] [QUESTION] Generate a response using the information from the background knowledge."  
 ---
 
 # InstructDial