Librarian Bot: Add base_model information to model

#2
Files changed (1) hide show
  1. README.md +10 -9
README.md CHANGED
@@ -9,12 +9,13 @@ 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: distilbert-base-multilingual-cased-WNUT-ner
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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: wnut_17
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  type: wnut_17
@@ -22,18 +23,18 @@ model-index:
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  split: test
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  args: wnut_17
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  metrics:
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- - name: Precision
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- type: precision
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  value: 0.5496503496503496
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- - name: Recall
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- type: recall
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  value: 0.36422613531047265
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- - name: F1
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- type: f1
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  value: 0.4381270903010034
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- - name: Accuracy
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- type: accuracy
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  value: 0.9468667179618706
 
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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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  - recall
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  - f1
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  - accuracy
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+ base_model: distilbert-base-multilingual-cased
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  model-index:
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  - name: distilbert-base-multilingual-cased-WNUT-ner
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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: wnut_17
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  type: wnut_17
 
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  split: test
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  args: wnut_17
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  metrics:
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+ - type: precision
 
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  value: 0.5496503496503496
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+ name: Precision
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+ - type: recall
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  value: 0.36422613531047265
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+ name: Recall
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+ - type: f1
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  value: 0.4381270903010034
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+ name: F1
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+ - type: accuracy
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  value: 0.9468667179618706
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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