Librarian Bot: Add base_model information to model

#28
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  1. README.md +12 -12
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
@@ -7,12 +9,17 @@ datasets:
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  metrics:
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  - accuracy
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  - f1
 
 
 
 
 
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  model-index:
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  - name: Fine-tuned-Indonesian-Sentiment-Classifier
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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: indonlu
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  type: indonlu
@@ -20,19 +27,12 @@ model-index:
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  split: validation
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  args: smsa
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  metrics:
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- - name: Accuracy
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- type: accuracy
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  value: 0.9317460317460318
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- - name: F1
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- type: f1
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  value: 0.9034223843742829
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- language:
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- - id
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- pipeline_tag: text-classification
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-
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- widget:
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- - text: "Kalo kamu WFH emang kerja?"
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- - text: "buku ini kurang bagus isinya"
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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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+ - id
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  license: mit
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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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+ pipeline_tag: text-classification
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+ widget:
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+ - text: Kalo kamu WFH emang kerja?
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+ - text: buku ini kurang bagus isinya
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+ base_model: indobenchmark/indobert-base-p1
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  model-index:
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  - name: Fine-tuned-Indonesian-Sentiment-Classifier
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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: indonlu
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  type: indonlu
 
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  split: validation
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  args: smsa
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  metrics:
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+ - type: accuracy
 
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  value: 0.9317460317460318
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+ name: Accuracy
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+ - type: f1
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  value: 0.9034223843742829
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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