Librarian Bot: Add base_model information to model

#1
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  1. README.md +43 -42
README.md CHANGED
@@ -5,76 +5,77 @@ 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-tweetner7-2020-selflabel2021-all
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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/tweetner7
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  type: tner/tweetner7
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  args: tner/tweetner7
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  metrics:
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- - name: F1 (test_2021)
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- type: f1
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  value: 0.6451758087201125
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- - name: Precision (test_2021)
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- type: precision
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  value: 0.6282458639202366
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- - name: Recall (test_2021)
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- type: recall
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  value: 0.6630434782608695
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- - name: Macro F1 (test_2021)
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- type: f1_macro
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  value: 0.5945137835095485
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- - name: Macro Precision (test_2021)
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- type: precision_macro
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  value: 0.5791991181065553
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- - name: Macro Recall (test_2021)
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- type: recall_macro
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  value: 0.6195808065595296
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- - name: Entity Span F1 (test_2021)
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- type: f1_entity_span
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  value: 0.7849668054461573
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- - name: Entity Span Precision (test_2020)
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- type: precision_entity_span
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  value: 0.7643256272597787
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- - name: Entity Span Recall (test_2021)
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- type: recall_entity_span
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  value: 0.8067537874407309
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- - name: F1 (test_2020)
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- type: f1
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  value: 0.6605206073752712
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- - name: Precision (test_2020)
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- type: precision
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  value: 0.6916524701873935
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- - name: Recall (test_2020)
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- type: recall
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  value: 0.6320705760249092
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- - name: Macro F1 (test_2020)
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- type: f1_macro
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  value: 0.6182768841282975
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- - name: Macro Precision (test_2020)
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- type: precision_macro
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  value: 0.646958757311601
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- - name: Macro Recall (test_2020)
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- type: recall_macro
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  value: 0.600022393469146
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- - name: Entity Span F1 (test_2020)
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- type: f1_entity_span
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  value: 0.769397721106891
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- - name: Entity Span Precision (test_2020)
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- type: precision_entity_span
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  value: 0.8061398521887436
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- - name: Entity Span Recall (test_2020)
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- type: recall_entity_span
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  value: 0.7358588479501816
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-
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- pipeline_tag: token-classification
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- widget:
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- - text: "Get the all-analog Classic Vinyl Edition of `Takin' Off` Album from {@herbiehancock@} via {@bluenoterecords@} link below: {{URL}}"
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- example_title: "NER Example 1"
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  ---
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  # tner/roberta-large-tweetner7-2020-selflabel2021-all
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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: 'Get the all-analog Classic Vinyl Edition of `Takin'' Off` Album from {@herbiehancock@}
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+ via {@bluenoterecords@} link below: {{URL}}'
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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-tweetner7-2020-selflabel2021-all
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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/tweetner7
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  type: tner/tweetner7
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  args: tner/tweetner7
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  metrics:
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+ - type: f1
 
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  value: 0.6451758087201125
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+ name: F1 (test_2021)
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+ - type: precision
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  value: 0.6282458639202366
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+ name: Precision (test_2021)
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+ - type: recall
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  value: 0.6630434782608695
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+ name: Recall (test_2021)
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+ - type: f1_macro
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  value: 0.5945137835095485
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+ name: Macro F1 (test_2021)
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+ - type: precision_macro
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  value: 0.5791991181065553
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+ name: Macro Precision (test_2021)
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+ - type: recall_macro
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  value: 0.6195808065595296
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+ name: Macro Recall (test_2021)
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+ - type: f1_entity_span
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  value: 0.7849668054461573
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+ name: Entity Span F1 (test_2021)
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+ - type: precision_entity_span
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  value: 0.7643256272597787
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+ name: Entity Span Precision (test_2020)
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+ - type: recall_entity_span
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  value: 0.8067537874407309
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+ name: Entity Span Recall (test_2021)
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+ - type: f1
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  value: 0.6605206073752712
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+ name: F1 (test_2020)
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+ - type: precision
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  value: 0.6916524701873935
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+ name: Precision (test_2020)
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+ - type: recall
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  value: 0.6320705760249092
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+ name: Recall (test_2020)
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+ - type: f1_macro
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  value: 0.6182768841282975
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+ name: Macro F1 (test_2020)
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+ - type: precision_macro
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  value: 0.646958757311601
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+ name: Macro Precision (test_2020)
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+ - type: recall_macro
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  value: 0.600022393469146
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+ name: Macro Recall (test_2020)
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+ - type: f1_entity_span
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  value: 0.769397721106891
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+ name: Entity Span F1 (test_2020)
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+ - type: precision_entity_span
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  value: 0.8061398521887436
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+ name: Entity Span Precision (test_2020)
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+ - type: recall_entity_span
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  value: 0.7358588479501816
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+ name: Entity Span Recall (test_2020)
 
 
 
 
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  ---
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  # tner/roberta-large-tweetner7-2020-selflabel2021-all
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