Librarian Bot: Add base_model information to model

#2
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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/twitter-roberta-base-dec2021-tweetner7-continuous
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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: 0.6511305152373794
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- - name: Precision (test_2021)
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- type: precision
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  value: 0.6512434933487565
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- - name: Recall (test_2021)
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- type: recall
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  value: 0.6510175763182239
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- - name: Macro F1 (test_2021)
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- type: f1_macro
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  value: 0.6001624572691789
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- - name: Macro Precision (test_2021)
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- type: precision_macro
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  value: 0.5998564738871041
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- - name: Macro Recall (test_2021)
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- type: recall_macro
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  value: 0.6026065175267361
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- - name: Entity Span F1 (test_2021)
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- type: f1_entity_span
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  value: 0.7810548230395559
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- - name: Entity Span Precision (test_2020)
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- type: precision_entity_span
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  value: 0.7811451706188548
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- - name: Entity Span Recall (test_2021)
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- type: recall_entity_span
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  value: 0.7809644963571181
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- - name: F1 (test_2020)
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- type: f1
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  value: 0.6491659830462128
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- - name: Precision (test_2020)
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- type: precision
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  value: 0.6861271676300578
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- - name: Recall (test_2020)
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- type: recall
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  value: 0.6159833938764919
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- - name: Macro F1 (test_2020)
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- type: f1_macro
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  value: 0.6069402050119113
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- - name: Macro Precision (test_2020)
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- type: precision_macro
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  value: 0.6442441821706234
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- - name: Macro Recall (test_2020)
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- type: recall_macro
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  value: 0.5785382402328414
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- - name: Entity Span F1 (test_2020)
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- type: f1_entity_span
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  value: 0.7582056892778994
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- - name: Entity Span Precision (test_2020)
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- type: precision_entity_span
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  value: 0.8016194331983806
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- - name: Entity Span Recall (test_2020)
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- type: recall_entity_span
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  value: 0.7192527244421381
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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/twitter-roberta-base-dec2021-tweetner7-continuous
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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: tner/twitter-roberta-base-dec2021-tweetner-2020
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  model-index:
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  - name: tner/twitter-roberta-base-dec2021-tweetner7-continuous
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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: 0.6511305152373794
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+ name: F1 (test_2021)
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+ - type: precision
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  value: 0.6512434933487565
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+ name: Precision (test_2021)
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+ - type: recall
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  value: 0.6510175763182239
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+ name: Recall (test_2021)
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+ - type: f1_macro
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  value: 0.6001624572691789
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+ name: Macro F1 (test_2021)
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+ - type: precision_macro
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  value: 0.5998564738871041
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+ name: Macro Precision (test_2021)
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+ - type: recall_macro
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  value: 0.6026065175267361
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+ name: Macro Recall (test_2021)
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+ - type: f1_entity_span
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  value: 0.7810548230395559
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+ name: Entity Span F1 (test_2021)
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+ - type: precision_entity_span
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  value: 0.7811451706188548
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+ name: Entity Span Precision (test_2020)
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+ - type: recall_entity_span
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  value: 0.7809644963571181
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+ name: Entity Span Recall (test_2021)
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+ - type: f1
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  value: 0.6491659830462128
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+ name: F1 (test_2020)
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+ - type: precision
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  value: 0.6861271676300578
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+ name: Precision (test_2020)
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+ - type: recall
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  value: 0.6159833938764919
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+ name: Recall (test_2020)
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+ - type: f1_macro
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  value: 0.6069402050119113
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+ name: Macro F1 (test_2020)
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+ - type: precision_macro
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  value: 0.6442441821706234
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+ name: Macro Precision (test_2020)
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+ - type: recall_macro
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  value: 0.5785382402328414
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+ name: Macro Recall (test_2020)
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+ - type: f1_entity_span
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  value: 0.7582056892778994
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+ name: Entity Span F1 (test_2020)
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+ - type: precision_entity_span
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  value: 0.8016194331983806
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+ name: Entity Span Precision (test_2020)
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+ - type: recall_entity_span
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  value: 0.7192527244421381
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+ name: Entity Span Recall (test_2020)
 
 
 
 
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  ---
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  # tner/twitter-roberta-base-dec2021-tweetner7-continuous
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