Librarian Bot: Add base_model information to model

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  1. README.md +13 -12
README.md CHANGED
@@ -2,36 +2,37 @@
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  license: apache-2.0
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  tags:
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  - generated_from_trainer
 
 
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  metrics:
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  - accuracy
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  - f1
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  - recall
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  - precision
 
 
 
 
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  model-index:
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  - name: distilbert-base-uncased-finetuned-emotion-balanced
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  results:
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  - task:
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- name: Text Classification
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  type: text-classification
 
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  dataset:
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  name: emotion
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  type: emotion
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  args: default
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  metrics:
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- - name: Accuracy
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- type: accuracy
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  value: 0.9521
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- - name: Loss
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- type: loss
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  value: 0.1216
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- - name: F1
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- type: f1
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  value: 0.9520944952964783
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- widget:
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- - text: Your actions were very caring.
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- example_title: Test sentence
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- datasets:
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- - AdamCodd/emotion-balanced
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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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  license: apache-2.0
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  tags:
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  - generated_from_trainer
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+ datasets:
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+ - AdamCodd/emotion-balanced
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  metrics:
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  - accuracy
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  - f1
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  - recall
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  - precision
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+ widget:
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+ - text: Your actions were very caring.
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+ example_title: Test sentence
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+ base_model: distilbert-base-uncased
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  model-index:
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  - name: distilbert-base-uncased-finetuned-emotion-balanced
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  results:
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  - task:
 
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  type: text-classification
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+ name: Text Classification
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  dataset:
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  name: emotion
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  type: emotion
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  args: default
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  metrics:
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+ - type: accuracy
 
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  value: 0.9521
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+ name: Accuracy
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+ - type: loss
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  value: 0.1216
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+ name: Loss
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+ - type: f1
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  value: 0.9520944952964783
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+ name: F1
 
 
 
 
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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