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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 [`google/flan-t5-small`](https://huggingface.co/google/flan-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!

Files changed (1) hide show
  1. README.md +13 -10
README.md CHANGED
@@ -6,12 +6,22 @@ datasets:
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  - winograd_wsc
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  metrics:
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  - rouge
 
 
 
 
 
 
 
 
 
 
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  model-index:
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  - name: flan-t5-small-coref
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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: winograd_wsc
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  type: winograd_wsc
@@ -19,16 +29,9 @@ model-index:
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  split: test
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  args: wsc285
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  metrics:
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- - name: Rouge1
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- type: rouge
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  value: 0.906
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- widget:
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- - text: "Sam has a Parker pen. He loves writing with it."
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- example_title: "Example 1"
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- - text: "Coronavirus quickly spread worldwide in 2020. The virus mostly affects elderly people. They can easily catch it."
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- example_title: "Example 2"
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- - text: "First, the manager evaluates the candidates. Afterwards, he notifies the candidates regarding the evaluation."
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- example_title: "Example 3"
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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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  - winograd_wsc
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  metrics:
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  - rouge
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+ widget:
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+ - text: Sam has a Parker pen. He loves writing with it.
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+ example_title: Example 1
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+ - text: Coronavirus quickly spread worldwide in 2020. The virus mostly affects elderly
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+ people. They can easily catch it.
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+ example_title: Example 2
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+ - text: First, the manager evaluates the candidates. Afterwards, he notifies the candidates
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+ regarding the evaluation.
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+ example_title: Example 3
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+ base_model: google/flan-t5-small
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  model-index:
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  - name: flan-t5-small-coref
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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: winograd_wsc
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  type: winograd_wsc
 
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  split: test
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  args: wsc285
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  metrics:
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+ - type: rouge
 
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  value: 0.906
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+ name: Rouge1
 
 
 
 
 
 
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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