Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`facebook/bart-base`](https://huggingface.co/facebook/bart-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 +1,8 @@
 ---
+language:
+- en
 license: apache-2.0
-datasets:
-- hakurei/open-instruct-v1
+library_name: transformers
 tags:
 - alpaca
 - self-instruct
@@ -9,85 +10,88 @@ tags:
 - instructiongen
 - bart
 - open-instruct
+datasets:
+- hakurei/open-instruct-v1
 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.
-  example_title: Navy Safetensors PR 
+- 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
     encoder_no_repeat_ngram_size: 4
-    early_stopping: True
-language:
-- en
-library_name: transformers
+    early_stopping: true
 pipeline_tag: text2text-generation
+base_model: facebook/bart-base
 ---