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Librarian Bot: Add base_model information to model

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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!

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  1. README.md +12 -11
README.md CHANGED
@@ -1,4 +1,6 @@
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  ---
 
 
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  license: apache-2.0
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  tags:
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  - summarization
@@ -7,12 +9,13 @@ datasets:
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  - multi_news
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  metrics:
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  - rouge
 
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  model-index:
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  - name: bart-base-multi-news
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  results:
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  - task:
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- name: Sequence-to-sequence Language Modeling
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  type: text2text-generation
 
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  dataset:
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  name: multi_news
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  type: multi_news
@@ -20,20 +23,18 @@ model-index:
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  split: validation
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  args: default
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  metrics:
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- - name: Rouge1
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- type: rouge
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  value: 26.31
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- - name: Rouge2
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- type: rouge
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  value: 9.6
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- - name: Rougel
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- type: rouge
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  value: 20.87
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- - name: Rougelsum
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- type: rouge
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  value: 21.54
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- language:
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- - en
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  ---
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+ language:
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+ - en
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  license: apache-2.0
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  tags:
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  - summarization
 
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  - multi_news
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  metrics:
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  - rouge
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+ base_model: facebook/bart-base
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  model-index:
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  - name: bart-base-multi-news
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  results:
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  - task:
 
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  type: text2text-generation
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+ name: Sequence-to-sequence Language Modeling
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  dataset:
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  name: multi_news
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  type: multi_news
 
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  split: validation
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  args: default
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  metrics:
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+ - type: rouge
 
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  value: 26.31
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+ name: Rouge1
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+ - type: rouge
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  value: 9.6
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+ name: Rouge2
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+ - type: rouge
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  value: 20.87
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+ name: Rougel
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+ - type: rouge
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  value: 21.54
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+ name: Rougelsum
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You