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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 [`distilroberta-base`](https://huggingface.co/distilroberta-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 +7 -7
README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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- license: apache-2.0
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  language: en
 
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  tags:
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  - financial-sentiment-analysis
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  - sentiment-analysis
@@ -17,29 +17,29 @@ metrics:
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  widget:
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  - text: The USD rallied by 10% last night
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  example_title: Bullish Sentiment
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- - text: >-
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- Covid-19 cases have been increasing over the past few months impacting
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- earnings for global firms
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  example_title: Bearish Sentiment
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  - text: the USD has been trending lower
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  example_title: Mildly Bearish Sentiment
 
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  model-index:
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  - name: distilroberta-finetuned-finclass
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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: financial_phrasebank
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  type: finance
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  args: sentence_50agree
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  metrics:
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  - type: F1
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- name: F1
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  value: 0.8835
 
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  - type: accuracy
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- name: accuracy
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  value: 0.89
 
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  ---
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  # distilroberta-finetuned-financial-text-classification
 
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  ---
 
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  language: en
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+ license: apache-2.0
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  tags:
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  - financial-sentiment-analysis
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  - sentiment-analysis
 
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  widget:
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  - text: The USD rallied by 10% last night
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  example_title: Bullish Sentiment
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+ - text: Covid-19 cases have been increasing over the past few months impacting earnings
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+ for global firms
 
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  example_title: Bearish Sentiment
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  - text: the USD has been trending lower
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  example_title: Mildly Bearish Sentiment
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+ base_model: distilroberta-base
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  model-index:
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  - name: distilroberta-finetuned-finclass
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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: financial_phrasebank
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  type: finance
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  args: sentence_50agree
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  metrics:
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  - type: F1
 
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  value: 0.8835
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+ name: F1
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  - type: accuracy
 
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  value: 0.89
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+ name: accuracy
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  ---
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  # distilroberta-finetuned-financial-text-classification