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Librarian Bot: Add base_model information to model (#3)

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- Librarian Bot: Add base_model information to model (d7b06931474947ffa53374425bcbad934ae5d3b6)


Co-authored-by: Librarian Bot (Bot) <[email protected]>

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  1. README.md +20 -19
README.md CHANGED
@@ -9,29 +9,30 @@ metrics:
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  - recall
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  - f1
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  - accuracy
 
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  model-index:
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  - name: bert-base-cased-ner-conll2003
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  results:
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  - task:
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- name: Token Classification
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  type: token-classification
 
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  dataset:
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  name: conll2003
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  type: conll2003
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  args: conll2003
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  metrics:
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- - name: Precision
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- type: precision
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  value: 0.9438052359513089
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- - name: Recall
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- type: recall
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  value: 0.9525412319084483
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- - name: F1
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- type: f1
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  value: 0.9481531116508919
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- - name: Accuracy
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- type: accuracy
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  value: 0.9910634321093416
 
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  - task:
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  type: token-classification
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  name: Token Classification
@@ -41,25 +42,25 @@ model-index:
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  config: conll2003
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  split: test
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  metrics:
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- - name: Accuracy
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- type: accuracy
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  value: 0.9116307653519484
 
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  verified: true
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- - name: Precision
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- type: precision
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  value: 0.9366103911345081
 
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  verified: true
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- - name: Recall
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- type: recall
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  value: 0.9262526113340186
 
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  verified: true
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- - name: F1
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- type: f1
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  value: 0.9314027058794109
 
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  verified: true
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- - name: loss
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- type: loss
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  value: 0.4366346299648285
 
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  verified: true
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  ---
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  - recall
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  - f1
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  - accuracy
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+ base_model: bert-base-cased
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  model-index:
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  - name: bert-base-cased-ner-conll2003
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  results:
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  - task:
 
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  type: token-classification
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+ name: Token Classification
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  dataset:
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  name: conll2003
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  type: conll2003
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  args: conll2003
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  metrics:
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+ - type: precision
 
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  value: 0.9438052359513089
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+ name: Precision
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+ - type: recall
28
  value: 0.9525412319084483
29
+ name: Recall
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+ - type: f1
31
  value: 0.9481531116508919
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+ name: F1
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+ - type: accuracy
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  value: 0.9910634321093416
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+ name: Accuracy
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  - task:
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  type: token-classification
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  name: Token Classification
 
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  config: conll2003
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  split: test
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  metrics:
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+ - type: accuracy
 
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  value: 0.9116307653519484
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+ name: Accuracy
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  verified: true
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+ - type: precision
 
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  value: 0.9366103911345081
51
+ name: Precision
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  verified: true
53
+ - type: recall
 
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  value: 0.9262526113340186
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+ name: Recall
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  verified: true
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+ - type: f1
 
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  value: 0.9314027058794109
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+ name: F1
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  verified: true
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+ - type: loss
 
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  value: 0.4366346299648285
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+ name: loss
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  verified: true
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  ---
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