Librarian Bot: Add base_model information to model

#1
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  1. README.md +14 -12
README.md CHANGED
@@ -9,32 +9,34 @@ 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: XLMR-ENIS-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: mim_gold_ner
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  type: mim_gold_ner
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  args: mim-gold-ner
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  metrics:
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- - name: Precision
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- type: precision
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  value: 0.9002453676283949
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- - name: Recall
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- type: recall
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  value: 0.896
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- - name: F1
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- type: f1
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  value: 0.8981176669198953
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- - name: Accuracy
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- type: accuracy
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  value: 0.9843747637694087
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-
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- widget:
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- - text: systurnar guðrún og monique voru einar í skóginum umkringdar víði, eik og reyni með þá ósk að sameinast fjölskyldu sinni sem fór á mai thai og í bíó paradís að sjá jim carey leika í the eternal sunshine of the spotless mind.
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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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  - recall
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  - f1
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  - accuracy
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+ widget:
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+ - text: systurnar guðrún og monique voru einar í skóginum umkringdar víði, eik og
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+ reyni með þá ósk að sameinast fjölskyldu sinni sem fór á mai thai og í bíó paradís
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+ að sjá jim carey leika í the eternal sunshine of the spotless mind.
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+ base_model: vesteinn/XLMR-ENIS
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  model-index:
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  - name: XLMR-ENIS-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: mim_gold_ner
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  type: mim_gold_ner
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  args: mim-gold-ner
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  metrics:
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+ - type: precision
 
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  value: 0.9002453676283949
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+ name: Precision
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+ - type: recall
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  value: 0.896
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+ name: Recall
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+ - type: f1
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  value: 0.8981176669198953
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+ name: F1
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+ - type: accuracy
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  value: 0.9843747637694087
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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