Librarian Bot: Add base_model information to model
#2
by
librarian-bot
- opened
README.md
CHANGED
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@@ -5,49 +5,49 @@ metrics:
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- f1
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- precision
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- recall
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model-index:
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- name: tner/roberta-large-bc5cdr
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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: tner/bc5cdr
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type: tner/bc5cdr
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args: tner/bc5cdr
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metrics:
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type: f1
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value: 0.8840696387239609
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value: 0.8728266269249876
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value: 0.8956060760526048
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value: 0.8797360472482783
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value: 0.8684274142690976
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value: 0.8913672531528037
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value: 0.886283586595552
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value: 0.8750124192747144
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value: 0.8978489142624121
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pipeline_tag: token-classification
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widget:
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- text: "Jacob Collier is a Grammy awarded artist from England."
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example_title: "NER Example 1"
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---
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# tner/roberta-large-bc5cdr
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- f1
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- precision
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- recall
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pipeline_tag: token-classification
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widget:
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- text: Jacob Collier is a Grammy awarded artist from England.
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example_title: NER Example 1
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base_model: roberta-large
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model-index:
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- name: tner/roberta-large-bc5cdr
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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: tner/bc5cdr
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type: tner/bc5cdr
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args: tner/bc5cdr
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metrics:
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- type: f1
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value: 0.8840696387239609
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name: F1
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- type: precision
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value: 0.8728266269249876
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name: Precision
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- type: recall
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value: 0.8956060760526048
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name: Recall
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- type: f1_macro
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value: 0.8797360472482783
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name: F1 (macro)
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- type: precision_macro
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value: 0.8684274142690976
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name: Precision (macro)
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- type: recall_macro
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value: 0.8913672531528037
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name: Recall (macro)
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- type: f1_entity_span
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value: 0.886283586595552
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name: F1 (entity span)
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- type: precision_entity_span
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value: 0.8750124192747144
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name: Precision (entity span)
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- type: recall_entity_span
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value: 0.8978489142624121
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name: Recall (entity span)
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---
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# tner/roberta-large-bc5cdr
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