Librarian Bot: Add base_model information to model

#2
Files changed (1) hide show
  1. README.md +17 -14
README.md CHANGED
@@ -1,6 +1,4 @@
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  ---
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- model_creators:
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- - Leonardo Zilio, Hadeel Saadany, Prashant Sharma, Diptesh Kanojia, Constantin Orasan
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  license: mit
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  tags:
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  - generated_from_trainer
@@ -11,33 +9,38 @@ metrics:
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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: "Light dissolved inorganic carbon (DIC) resulting from the oxidation of hydrocarbons."
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- - text: "RAFs are plotted for a selection of neurons in the dorsal zone (DZ) of auditory cortex in Figure 1."
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- - text: "Images were acquired using a GE 3.0T MRI scanner with an upgrade for echo-planar imaging (EPI)."
 
 
 
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  model-index:
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  - name: roberta-base-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: surrey-nlp/PLOD-filtered
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  type: token-classification
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  args: PLODfiltered
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  metrics:
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- - name: Precision
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- type: precision
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  value: 0.9644756447594547
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- - name: Recall
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- type: recall
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  value: 0.9583209148378798
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- - name: F1
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- type: f1
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  value: 0.9613884293804785
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- - name: Accuracy
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- type: accuracy
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  value: 0.9575894768204436
 
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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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  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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+ model_creators:
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+ - Leonardo Zilio, Hadeel Saadany, Prashant Sharma, Diptesh Kanojia, Constantin Orasan
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  widget:
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+ - text: Light dissolved inorganic carbon (DIC) resulting from the oxidation of hydrocarbons.
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+ - text: RAFs are plotted for a selection of neurons in the dorsal zone (DZ) of auditory
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+ cortex in Figure 1.
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+ - text: Images were acquired using a GE 3.0T MRI scanner with an upgrade for echo-planar
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+ imaging (EPI).
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+ base_model: roberta-base
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  model-index:
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  - name: roberta-base-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: surrey-nlp/PLOD-filtered
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  type: token-classification
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  args: PLODfiltered
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  metrics:
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+ - type: precision
 
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  value: 0.9644756447594547
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+ name: Precision
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+ - type: recall
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  value: 0.9583209148378798
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+ name: Recall
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+ - type: f1
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  value: 0.9613884293804785
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+ name: F1
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+ - type: accuracy
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  value: 0.9575894768204436
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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