Librarian Bot: Add base_model information to model

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  1. README.md +17 -12
README.md CHANGED
@@ -4,20 +4,25 @@ tags:
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  - generated_from_trainer
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  datasets:
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  - jnlpba
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- widget:
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- - text: "The widespread circular form of DNA molecules inside cells creates very serious topological problems during replication. Due to the helical structure of the double helix the parental strands of circular DNA form a link of very high order, and yet they have to be unlinked before the cell division."
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- - text: "It consists of 25 exons encoding a 1,278-amino acid glycoprotein that is composed of 13 transmembrane domains"
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  metrics:
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  - precision
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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: pubmedbert-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: jnlpba
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  type: jnlpba
@@ -25,18 +30,18 @@ model-index:
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  split: train
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  args: jnlpba
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  metrics:
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- - name: Precision
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- type: precision
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  value: 0.6877153861747415
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- - name: Recall
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- type: recall
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  value: 0.7833063957515586
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- - name: F1
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- type: f1
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  value: 0.7324050086355786
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- - name: Accuracy
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- type: accuracy
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  value: 0.926729986431479
 
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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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  - generated_from_trainer
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  datasets:
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  - jnlpba
 
 
 
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  metrics:
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  - precision
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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: The widespread circular form of DNA molecules inside cells creates very serious
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+ topological problems during replication. Due to the helical structure of the double
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+ helix the parental strands of circular DNA form a link of very high order, and
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+ yet they have to be unlinked before the cell division.
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+ - text: It consists of 25 exons encoding a 1,278-amino acid glycoprotein that is composed
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+ of 13 transmembrane domains
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+ base_model: microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext
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  model-index:
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  - name: pubmedbert-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: jnlpba
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  type: jnlpba
 
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  split: train
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  args: jnlpba
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  metrics:
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+ - type: precision
 
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  value: 0.6877153861747415
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+ name: Precision
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+ - type: recall
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  value: 0.7833063957515586
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+ name: Recall
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+ - type: f1
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  value: 0.7324050086355786
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+ name: F1
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+ - type: accuracy
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  value: 0.926729986431479
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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