asahi417 commited on
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model update

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  1. README.md +21 -29
README.md CHANGED
@@ -12,70 +12,62 @@ model-index:
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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/test_2021
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- type: tner/tweetner7/test_2021
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- args: tner/tweetner7/test_2021
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  metrics:
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- - name: F1
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  type: f1
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  value: 0.6421184225480168
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- - name: Precision
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  type: precision
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  value: 0.6312849162011173
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- - name: Recall
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  type: recall
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  value: 0.6533302497687327
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- - name: F1 (macro)
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  type: f1_macro
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  value: 0.5910653350307403
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- - name: Precision (macro)
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  type: precision_macro
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  value: 0.5792905609274926
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- - name: Recall (macro)
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  type: recall_macro
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  value: 0.604510675992635
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- - name: F1 (entity span)
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  type: f1_entity_span
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  value: 0.7789270288701977
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- - name: Precision (entity span)
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  type: precision_entity_span
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  value: 0.7657838864677617
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- - name: Recall (entity span)
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  type: recall_entity_span
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  value: 0.7925292008789175
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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/test_2020
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- type: tner/tweetner7/test_2020
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- args: tner/tweetner7/test_2020
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- metrics:
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- - name: F1
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  type: f1
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  value: 0.642489851150203
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- - name: Precision
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  type: precision
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  value: 0.6713800904977375
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- - name: Recall
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  type: recall
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  value: 0.6159833938764919
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- - name: F1 (macro)
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  type: f1_macro
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  value: 0.6023293888599316
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- - name: Precision (macro)
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  type: precision_macro
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  value: 0.6319549874790182
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- - name: Recall (macro)
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  type: recall_macro
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  value: 0.5783022171044098
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- - name: F1 (entity span)
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  type: f1_entity_span
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  value: 0.7480378890392421
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- - name: Precision (entity span)
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  type: precision_entity_span
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  value: 0.7816742081447964
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- - name: Recall (entity span)
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  type: recall_entity_span
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  value: 0.7171769590036325
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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: 0.6421184225480168
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+ - name: Precision (test_2021)
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  type: precision
24
  value: 0.6312849162011173
25
+ - name: Recall (test_2021)
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  type: recall
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  value: 0.6533302497687327
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+ - name: Macro F1 (test_2021)
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  type: f1_macro
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  value: 0.5910653350307403
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+ - name: Macro Precision (test_2021)
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  type: precision_macro
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  value: 0.5792905609274926
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+ - name: Macro Recall (test_2021)
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  type: recall_macro
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  value: 0.604510675992635
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+ - name: Entity Span F1 (test_2021)
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  type: f1_entity_span
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  value: 0.7789270288701977
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+ - name: Entity Span Precision (test_2020)
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  type: precision_entity_span
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  value: 0.7657838864677617
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+ - name: Entity Span Recall (test_2021)
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  type: recall_entity_span
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  value: 0.7925292008789175
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+ - name: F1 (test_2020)
 
 
 
 
 
 
 
 
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  type: f1
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  value: 0.642489851150203
49
+ - name: Precision (test_2020)
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  type: precision
51
  value: 0.6713800904977375
52
+ - name: Recall (test_2020)
53
  type: recall
54
  value: 0.6159833938764919
55
+ - name: Macro F1 (test_2020)
56
  type: f1_macro
57
  value: 0.6023293888599316
58
+ - name: Macro Precision (test_2020)
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  type: precision_macro
60
  value: 0.6319549874790182
61
+ - name: Macro Recall (test_2020)
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  type: recall_macro
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  value: 0.5783022171044098
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+ - name: Entity Span F1 (test_2020)
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  type: f1_entity_span
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  value: 0.7480378890392421
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+ - name: Entity Span Precision (test_2020)
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  type: precision_entity_span
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  value: 0.7816742081447964
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+ - name: Entity Span Recall (test_2020)
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  type: recall_entity_span
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  value: 0.7171769590036325
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