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Librarian Bot: Add base_model information to model (#2)

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- Librarian Bot: Add base_model information to model (9a5a91df08051fbe352a4227de03337924396833)


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  1. README.md +15 -15
README.md CHANGED
@@ -8,12 +8,24 @@ datasets:
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  - glue
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  metrics:
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  - matthews_correlation
 
 
 
 
 
 
 
 
 
 
 
 
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  model-index:
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  - name: deberta-v3-xsmall-CoLA
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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: GLUE COLA
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  type: glue
@@ -21,21 +33,9 @@ model-index:
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  split: validation
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  args: cola
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  metrics:
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- - name: Matthews Correlation
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- type: matthews_correlation
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  value: 0.5894856058137782
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-
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- widget:
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- - text: 'The cat sat on the mat.'
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- example_title: Correct grammatical sentence
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- - text: 'Me and my friend going to the store.'
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- example_title: Incorrect subject-verb agreement
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- - text: 'I ain''t got no money.'
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- example_title: Incorrect verb conjugation and double negative
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- - text: 'She don''t like pizza no more.'
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- example_title: Incorrect verb conjugation and double negative
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- - text: 'They is arriving tomorrow.'
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- example_title: Incorrect verb conjugation
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  ---
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  - glue
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  metrics:
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  - matthews_correlation
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+ widget:
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+ - text: The cat sat on the mat.
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+ example_title: Correct grammatical sentence
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+ - text: Me and my friend going to the store.
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+ example_title: Incorrect subject-verb agreement
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+ - text: I ain't got no money.
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+ example_title: Incorrect verb conjugation and double negative
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+ - text: She don't like pizza no more.
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+ example_title: Incorrect verb conjugation and double negative
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+ - text: They is arriving tomorrow.
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+ example_title: Incorrect verb conjugation
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+ base_model: microsoft/deberta-v3-xsmall
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  model-index:
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  - name: deberta-v3-xsmall-CoLA
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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: GLUE COLA
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  type: glue
 
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  split: validation
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  args: cola
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  metrics:
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+ - type: matthews_correlation
 
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  value: 0.5894856058137782
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+ name: Matthews Correlation
 
 
 
 
 
 
 
 
 
 
 
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  ---
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