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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 [`cahya/bert-base-indonesian-1.5G`](https://huggingface.co./cahya/bert-base-indonesian-1.5G) 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 +7 -6
README.md CHANGED
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  ---
 
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  license: mit
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  tags:
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  - generated_from_trainer
@@ -6,23 +7,23 @@ datasets:
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  - indonlu
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  metrics:
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  - accuracy
 
 
 
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  model-index:
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  - name: bert-base-indonesian-1.5G-finetuned-sentiment-analysis-smsa
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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: indonlu
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  type: indonlu
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  args: smsa
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  metrics:
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- - name: Accuracy
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- type: accuracy
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  value: 0.9373015873015873
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- language: id
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- widget:
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- - text: "Saya mengapresiasi usaha anda"
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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: id
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  license: mit
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  tags:
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  - generated_from_trainer
 
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  - indonlu
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  metrics:
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  - accuracy
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+ widget:
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+ - text: Saya mengapresiasi usaha anda
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+ base_model: cahya/bert-base-indonesian-1.5G
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  model-index:
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  - name: bert-base-indonesian-1.5G-finetuned-sentiment-analysis-smsa
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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: indonlu
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  type: indonlu
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  args: smsa
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  metrics:
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+ - type: accuracy
 
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  value: 0.9373015873015873
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+ name: Accuracy
 
 
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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