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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: 0.6142662426169924
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- - name: Precision
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  type: precision
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  value: 0.6035714285714285
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- - name: Recall
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  type: recall
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  value: 0.6253469010175763
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- - name: F1 (macro)
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  type: f1_macro
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  value: 0.5614355349295936
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- - name: Precision (macro)
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  type: precision_macro
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  value: 0.5513691216732639
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- - name: Recall (macro)
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  type: recall_macro
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  value: 0.5731091951352001
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- - name: F1 (entity span)
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  type: f1_entity_span
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  value: 0.7585501647540052
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- - name: Precision (entity span)
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  type: precision_entity_span
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  value: 0.7455053042992742
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- - name: Recall (entity span)
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  type: recall_entity_span
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  value: 0.7720596738753325
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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: 0.6218623481781376
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- - name: Precision
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  type: precision
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  value: 0.6479190101237345
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- - name: Recall
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  type: recall
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  value: 0.5978204462895693
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- - name: F1 (macro)
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  type: f1_macro
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  value: 0.5814516218649598
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- - name: Precision (macro)
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  type: precision_macro
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  value: 0.6074235531058303
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- - name: Recall (macro)
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  type: recall_macro
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  value: 0.559517342837518
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- - name: F1 (entity span)
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  type: f1_entity_span
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  value: 0.7379217273954116
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- - name: Precision (entity span)
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  type: precision_entity_span
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  value: 0.7688413948256468
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- - name: Recall (entity span)
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  type: recall_entity_span
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  value: 0.7093928386092372
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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: 0.6142662426169924
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+ - name: Precision (test_2021)
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  type: precision
24
  value: 0.6035714285714285
25
+ - name: Recall (test_2021)
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  type: recall
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  value: 0.6253469010175763
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+ - name: Macro F1 (test_2021)
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  type: f1_macro
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  value: 0.5614355349295936
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+ - name: Macro Precision (test_2021)
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  type: precision_macro
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  value: 0.5513691216732639
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+ - name: Macro Recall (test_2021)
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  type: recall_macro
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  value: 0.5731091951352001
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+ - name: Entity Span F1 (test_2021)
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  type: f1_entity_span
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  value: 0.7585501647540052
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+ - name: Entity Span Precision (test_2020)
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  type: precision_entity_span
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  value: 0.7455053042992742
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+ - name: Entity Span Recall (test_2021)
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  type: recall_entity_span
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  value: 0.7720596738753325
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+ - name: F1 (test_2020)
 
 
 
 
 
 
 
 
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  type: f1
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  value: 0.6218623481781376
49
+ - name: Precision (test_2020)
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  type: precision
51
  value: 0.6479190101237345
52
+ - name: Recall (test_2020)
53
  type: recall
54
  value: 0.5978204462895693
55
+ - name: Macro F1 (test_2020)
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  type: f1_macro
57
  value: 0.5814516218649598
58
+ - name: Macro Precision (test_2020)
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  type: precision_macro
60
  value: 0.6074235531058303
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+ - name: Macro Recall (test_2020)
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  type: recall_macro
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  value: 0.559517342837518
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+ - name: Entity Span F1 (test_2020)
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  type: f1_entity_span
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  value: 0.7379217273954116
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+ - name: Entity Span Precision (test_2020)
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  type: precision_entity_span
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  value: 0.7688413948256468
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+ - name: Entity Span Recall (test_2020)
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  type: recall_entity_span
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  value: 0.7093928386092372
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