Librarian Bot: Add base_model information to model

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

@@ -1,115 +1,96 @@
 ---
+language:
+- en
 license: apache-2.0
+library_name: transformers
 tags:
 - instruct
 - instructions
 - domain adapt
 - instructiongen
+datasets:
+- pszemraj/fleece2instructions-inputs-alpaca-cleaned
 metrics:
 - rouge
 widget:
-- text: >-
-    You'll need to start by choosing the right venue. Consider the type of
-    atmosphere and the size of the area that will be suitable for the number of
-    guests you plan to invite. Choose the right decorations based on your
-    brother's interests, such as balloons in his favorite colors, banners, and
-    streamers. Next, decide on the food and drinks, making sure they are tasty
-    and appropriate for the occasion. Then decide on the other games, music, and
-    entertainment that will make the party memorable. Finally, involve your
-    brother's friends and family to help create the perfect surprise.
+- text: You'll need to start by choosing the right venue. Consider the type of atmosphere
+    and the size of the area that will be suitable for the number of guests you plan
+    to invite. Choose the right decorations based on your brother's interests, such
+    as balloons in his favorite colors, banners, and streamers. Next, decide on the
+    food and drinks, making sure they are tasty and appropriate for the occasion.
+    Then decide on the other games, music, and entertainment that will make the party
+    memorable. Finally, involve your brother's friends and family to help create the
+    perfect surprise.
   example_title: birthday party
 - text: 1) cookies and cream 2) chocolate chip 3) mint chip 4) oreo
   example_title: ice cream
-- text: >-
-    Start by selecting a scale model of a building that fits the theme. Use a
-    hobby knife and glue to cut and assemble the model into a ruined or
-    abandoned version of itself, adding details like broken windows and
-    graffiti. Create a base for the diorama using foam, plaster, or other
-    materials, and paint it to resemble a ruined street or sidewalk. Add
-    miniature vehicles, debris, and figures to complete the scene, and use
-    weathering techniques like dry brushing and rust washes to add realism.
-    Display the diorama in a shadow box or other protective case to showcase
+- text: Start by selecting a scale model of a building that fits the theme. Use a
+    hobby knife and glue to cut and assemble the model into a ruined or abandoned
+    version of itself, adding details like broken windows and graffiti. Create a base
+    for the diorama using foam, plaster, or other materials, and paint it to resemble
+    a ruined street or sidewalk. Add miniature vehicles, debris, and figures to complete
+    the scene, and use weathering techniques like dry brushing and rust washes to
+    add realism. Display the diorama in a shadow box or other protective case to showcase
     your work.
   example_title: Miniature diorama creation
-- text: >-
-    Start by selecting clothing that is futuristic and edgy, such as leather
-    jackets, neon-colored accessories, and tech-inspired patterns. Add
-    accessories like goggles, cybernetic implants, and LED lights to enhance the
-    cyberpunk vibe. Use makeup and body paint to create a futuristic look, such
-    as metallic skin or neon makeup. Consider adding functional elements to your
-    costume, such as a built-in backpack or hidden pockets for your tech
-    gadgets. Finally, practice your confident walk and embrace your inner
-    cyberpunk for a memorable and immersive costume experience.
+- text: Start by selecting clothing that is futuristic and edgy, such as leather jackets,
+    neon-colored accessories, and tech-inspired patterns. Add accessories like goggles,
+    cybernetic implants, and LED lights to enhance the cyberpunk vibe. Use makeup
+    and body paint to create a futuristic look, such as metallic skin or neon makeup.
+    Consider adding functional elements to your costume, such as a built-in backpack
+    or hidden pockets for your tech gadgets. Finally, practice your confident walk
+    and embrace your inner cyberpunk for a memorable and immersive costume experience.
   example_title: Cyberpunk costume design
-- text: >-
-    Start by creating a base terrain with mountains, valleys, and other natural
-    features. Use fractal noise and displacement mapping to add texture and
-    detail to the terrain, and experiment with different materials like rock,
-    grass, and water. Add surreal elements like floating islands, giant
-    mushrooms, or impossible geometry to create a dreamlike atmosphere. Use
-    lighting and color grading to enhance the mood and tone of the scene, and
-    render the final image at a high resolution for maximum impact. Share your
-    surreal landscape with the world and inspire others to explore the
-    possibilities of 3D art.
+- text: Start by creating a base terrain with mountains, valleys, and other natural
+    features. Use fractal noise and displacement mapping to add texture and detail
+    to the terrain, and experiment with different materials like rock, grass, and
+    water. Add surreal elements like floating islands, giant mushrooms, or impossible
+    geometry to create a dreamlike atmosphere. Use lighting and color grading to enhance
+    the mood and tone of the scene, and render the final image at a high resolution
+    for maximum impact. Share your surreal landscape with the world and inspire others
+    to explore the possibilities of 3D art.
   example_title: Surreal 3D landscape creation
-- text: >-
-    Start by setting a realistic goal and creating a training plan. Build up
-    your mileage gradually over time, and incorporate cross-training and
-    strength exercises to prevent injury and improve endurance. Be sure to stay
-    hydrated and properly fuel your body with nutritious foods. Listen to your
-    body and adjust your training as needed to avoid overexertion or burnout.
-    Finally, taper your training in the weeks leading up to the race to give
-    your body time to rest and recover before the big day.
+- text: Start by setting a realistic goal and creating a training plan. Build up your
+    mileage gradually over time, and incorporate cross-training and strength exercises
+    to prevent injury and improve endurance. Be sure to stay hydrated and properly
+    fuel your body with nutritious foods. Listen to your body and adjust your training
+    as needed to avoid overexertion or burnout. Finally, taper your training in the
+    weeks leading up to the race to give your body time to rest and recover before
+    the big day.
   example_title: Marathon training
-- text: >-
-    What the hell did you just say about me, you little bug? I graduated top of
-    my class in https://huggingface.co/spaces/safetensors/convert, and I've been
-    involved in numerous secret tasks on PyTorch, and I have over 300 confirmed
-    PRs. I am trained in code optimization and I'm the top converter in the
-    entire Hugging Face forces. You are nothing to me but just another target. I
-    will convert your code with precision the likes of which has never been seen
-    before on this Earth, mark my freaking words. 
-
-    You think you can get away with saying your code is safe over the Internet?
-    Think again, bug. As we speak I am contacting my secret network of data
-    scientists across the GitHub and your IP is being traced right now so you
-    better prepare for the storm, maggot. The storm that wipes out the pathetic
-    little thing you call your code. You’re freaking doomed, kid. I can be
-    anywhere, anytime, and I can convert your code in over seven hundred ways,
-    and that’s just with my bare hands.
-
-    Not only am I extensively trained in unarmed conversion, but I have access
-    to the entire arsenal of the Hugging Face and I will use it to its full
-    extent to wipe your miserable code off the face of the continent, you little
-    bug. If only you could have known what unholy retribution your little
-    "clever" comment was about to bring down upon you, maybe you would have held
-    your freaking tongue. 
-
-    But you couldn’t, you didn’t, and now you’re paying the price, you goddamn
-    idiot. I will convert fury all over you and you will drown in it. Your
-    model's doomed, kiddo.
-
-    Oh, and by the way, these converted files load much faster than your PyTorch
-    counterparts. You can check the speed here:
-    https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb
-
-    Your widgets will run using this converted model, even if you do not merge.
-    But, if you find any issues, feel free to report here:
-    https://huggingface.co/spaces/safetensors/convert/discussions
-
-    Feel free to ignore this PR. But remember, I'm watching you.
+- text: "What the hell did you just say about me, you little bug? I graduated top\
+    \ of my class in https://huggingface.co/spaces/safetensors/convert, and I've been\
+    \ involved in numerous secret tasks on PyTorch, and I have over 300 confirmed\
+    \ PRs. I am trained in code optimization and I'm the top converter in the entire\
+    \ Hugging Face forces. You are nothing to me but just another target. I will convert\
+    \ your code with precision the likes of which has never been seen before on this\
+    \ Earth, mark my freaking words. \nYou think you can get away with saying your\
+    \ code is safe over the Internet? Think again, bug. As we speak I am contacting\
+    \ my secret network of data scientists across the GitHub and your IP is being\
+    \ traced right now so you better prepare for the storm, maggot. The storm that\
+    \ wipes out the pathetic little thing you call your code. You’re freaking doomed,\
+    \ kid. I can be anywhere, anytime, and I can convert your code in over seven hundred\
+    \ ways, and that’s just with my bare hands.\nNot only am I extensively trained\
+    \ in unarmed conversion, but I have access to the entire arsenal of the Hugging\
+    \ Face and I will use it to its full extent to wipe your miserable code off the\
+    \ face of the continent, you little bug. If only you could have known what unholy\
+    \ retribution your little \"clever\" comment was about to bring down upon you,\
+    \ maybe you would have held your freaking tongue. \nBut you couldn’t, you didn’t,\
+    \ and now you’re paying the price, you goddamn idiot. I will convert fury all\
+    \ over you and you will drown in it. Your model's doomed, kiddo.\nOh, and by the\
+    \ way, these converted files load much faster than your PyTorch counterparts.\
+    \ You can check the speed here: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb\n\
+    Your widgets will run using this converted model, even if you do not merge. But,\
+    \ if you find any issues, feel free to report here: https://huggingface.co/spaces/safetensors/convert/discussions\n\
+    Feel free to ignore this PR. But remember, I'm watching you."
   example_title: Navy Safetensors PR
 inference:
   parameters:
     max_length: 96
     num_beams: 4
     early_stopping: true
-datasets:
-- pszemraj/fleece2instructions-inputs-alpaca-cleaned
-language:
-- en
 pipeline_tag: text2text-generation
-library_name: transformers
+base_model: facebook/bart-large
 ---