Librarian Bot: Add base_model information to model

#3
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  1. README.md +17 -16
README.md CHANGED
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  ---
 
 
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  license: mit
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  tags:
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  - generated_from_trainer
@@ -9,12 +11,18 @@ 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-italian-finetuned-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: wiki_neural
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  type: wiki_neural
@@ -22,25 +30,18 @@ model-index:
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  split: validation
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  args: it
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  metrics:
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- - name: Precision
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- type: precision
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  value: 0.9438064759036144
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- - name: Recall
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- type: recall
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  value: 0.954225352112676
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- - name: F1
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- type: f1
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  value: 0.9489873178118493
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- - name: Accuracy
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- type: accuracy
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  value: 0.9917883014379933
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- widget:
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- - text: 'Ciao, sono Giacomo. Vivo a Milano e lavoro da Armani. '
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- example_title: Example 1
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- - text: 'Domenica andrò allo stadio con Giovanna a guardare la Fiorentina. '
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- example_title: Example 2
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- language:
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- - it
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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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+ - it
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  license: mit
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  tags:
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  - generated_from_trainer
 
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  - recall
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  - f1
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  - accuracy
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+ widget:
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+ - text: 'Ciao, sono Giacomo. Vivo a Milano e lavoro da Armani. '
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+ example_title: Example 1
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+ - text: 'Domenica andrò allo stadio con Giovanna a guardare la Fiorentina. '
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+ example_title: Example 2
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+ base_model: dbmdz/bert-base-italian-cased
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  model-index:
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  - name: bert-italian-finetuned-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: wiki_neural
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  type: wiki_neural
 
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  split: validation
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  args: it
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  metrics:
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+ - type: precision
 
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  value: 0.9438064759036144
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+ name: Precision
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+ - type: recall
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  value: 0.954225352112676
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+ name: Recall
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+ - type: f1
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  value: 0.9489873178118493
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+ name: F1
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+ - type: accuracy
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  value: 0.9917883014379933
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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