Librarian Bot: Add base_model information to model

#5
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  1. README.md +8 -8
README.md CHANGED
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  ---
 
 
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  license: cc-by-sa-4.0
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  tags:
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  - financial-sentiment-analysis
@@ -19,31 +21,29 @@ 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: sec-bert-finetuned-finance-classification
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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: 0.8744
 
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  - type: accuracy
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- name: accuracy
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  value: 0.8755
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- language:
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- - en
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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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  license: cc-by-sa-4.0
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  tags:
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  - financial-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: nlpaueb/sec-bert-base
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  model-index:
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  - name: sec-bert-finetuned-finance-classification
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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: 0.8744
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+ name: F1
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  - type: accuracy
 
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  value: 0.8755
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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