Librarian Bot: Add base_model information to model

#2
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  1. README.md +17 -16
README.md CHANGED
@@ -1,4 +1,6 @@
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  ---
 
 
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  license: apache-2.0
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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-finetuned-ner-ontonotes
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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: ontonotes5
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  type: ontonotes5
@@ -22,25 +30,18 @@ model-index:
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  split: train
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  args: ontonotes5
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  metrics:
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- - name: Precision
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- type: precision
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  value: 0.8567258883248731
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- - name: Recall
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- type: recall
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  value: 0.8841595180407308
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- - name: F1
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- type: f1
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  value: 0.8702265476459025
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- - name: Accuracy
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- type: accuracy
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  value: 0.9754933764288157
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- widget:
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- - text: 'Hi! I am jack. I live in California and I work for Apple '
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- example_title: Example 1
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- - text: 'Thi book is amazing! I bought it on Amazon for 4$. '
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- example_title: Example 2
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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: apache-2.0
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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: 'Hi! I am jack. I live in California and I work for Apple '
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+ example_title: Example 1
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+ - text: 'Thi book is amazing! I bought it on Amazon for 4$. '
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+ example_title: Example 2
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+ base_model: bert-base-cased
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  model-index:
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  - name: bert-finetuned-ner-ontonotes
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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: ontonotes5
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  type: ontonotes5
 
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  split: train
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  args: ontonotes5
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  metrics:
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+ - type: precision
 
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  value: 0.8567258883248731
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+ name: Precision
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+ - type: recall
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  value: 0.8841595180407308
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+ name: Recall
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+ - type: f1
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  value: 0.8702265476459025
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+ name: F1
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+ - type: accuracy
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  value: 0.9754933764288157
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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