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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 [`distilbert-base-multilingual-cased`](https://huggingface.co/distilbert-base-multilingual-cased) 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 +16 -15
README.md CHANGED
@@ -1,29 +1,30 @@
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  ---
 
 
 
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  license: apache-2.0
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  tags:
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  - generated_from_trainer
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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: finetuning-sentiment-all_df
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- results: []
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  datasets:
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  - glue
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  - wisesight_sentiment
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  - tweet_eval
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  - imdb
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- language:
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- - en
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- - th
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  pipeline_tag: text-classification
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  widget:
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- - text: "ไปเลยยยย 555 โคตรคุ้มมมมค่า"
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- example: "pos"
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- - text: "ยาบ้าโทษประหารนะครับ"
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- example: "neu"
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- - text: "จับบุหรี่ไฟฟ้า ยึดรถ????"
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- example: "neg"
 
 
 
 
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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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+ - th
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  license: apache-2.0
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  tags:
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  - generated_from_trainer
 
 
 
 
 
 
8
  datasets:
9
  - glue
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  - wisesight_sentiment
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  - tweet_eval
12
  - imdb
13
+ metrics:
14
+ - accuracy
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+ - f1
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  pipeline_tag: text-classification
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  widget:
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+ - text: ไปเลยยยย 555 โคตรคุ้มมมมค่า
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+ example: pos
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+ - text: ยาบ้าโทษประหารนะครับ
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+ example: neu
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+ - text: จับบุหรี่ไฟฟ้า ยึดรถ????
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+ example: neg
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+ base_model: distilbert-base-multilingual-cased
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+ model-index:
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+ - name: finetuning-sentiment-all_df
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+ results: []
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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