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Librarian Bot: Add base_model information to model (#2)

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- Librarian Bot: Add base_model information to model (9237cbfbc9cfacbcc4b5661a21b3a625983a4905)


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  1. README.md +17 -14
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
@@ -9,35 +11,36 @@ metrics:
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  - recall
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  - f1
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  - accuracy
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- language:
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- - en
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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: albert-large-v2-finetuned-ner_with_callbacks
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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-unfiltered
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  type: token-classification
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  args: PLODunfiltered
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  metrics:
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- - name: Precision
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- type: precision
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  value: 0.9655166719570215
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- - name: Recall
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- type: recall
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  value: 0.9608483288141474
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- - name: F1
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- type: f1
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  value: 0.9631768437660728
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- - name: Accuracy
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- type: accuracy
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  value: 0.9589410429715819
 
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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: 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: albert-large-v2
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  model-index:
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  - name: albert-large-v2-finetuned-ner_with_callbacks
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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-unfiltered
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  type: token-classification
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  args: PLODunfiltered
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  metrics:
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+ - type: precision
 
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  value: 0.9655166719570215
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+ name: Precision
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+ - type: recall
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  value: 0.9608483288141474
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+ name: Recall
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+ - type: f1
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  value: 0.9631768437660728
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+ name: F1
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+ - type: accuracy
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  value: 0.9589410429715819
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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