Librarian Bot: Add base_model information to model
Browse filesThis pull request aims to enrich the metadata of your model by adding [`distilbert-base-uncased`](https://huggingface.co/distilbert-base-uncased) 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).
If you want to automatically add `base_model` metadata to more of your modes you can use the [Librarian Bot](https://huggingface.co/librarian-bot) [Metadata Request Service](https://huggingface.co/spaces/librarian-bots/metadata_request_service)!
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            metrics:
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            - accuracy
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            - f1
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            model-index:
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            - name: distilbert-base-uncased-finetuned-emotion
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              results:
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              - task:
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                  name: Text Classification
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                  type: text-classification
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                dataset:
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                  name: emotion
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                  type: emotion
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                  args: default
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                metrics:
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                  type: accuracy
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                  value: 0.923
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                  value: 0.9227457538297092
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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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            metrics:
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            - accuracy
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            - f1
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            base_model: distilbert-base-uncased
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            model-index:
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            - name: distilbert-base-uncased-finetuned-emotion
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              results:
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              - task:
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                  type: text-classification
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                  name: Text Classification
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                dataset:
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                  name: emotion
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                  type: emotion
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                  args: default
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                metrics:
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                - type: accuracy
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                  value: 0.923
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                  name: Accuracy
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                - type: f1
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                  value: 0.9227457538297092
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                  name: F1
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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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