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: 0.6067163296677308
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- - name: Precision
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  type: precision
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  value: 0.6207355431889668
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- - name: Recall
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  type: recall
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  value: 0.5933163737280296
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- - name: F1 (macro)
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  type: f1_macro
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  value: 0.5550005793330179
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- - name: Precision (macro)
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  type: precision_macro
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  value: 0.5693376167794506
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- - name: Recall (macro)
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  type: recall_macro
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  value: 0.541740961323845
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- - name: F1 (entity span)
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  type: f1_entity_span
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  value: 0.7572011592831372
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- - name: Precision (entity span)
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  type: precision_entity_span
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  value: 0.7749394673123486
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- - name: Recall (entity span)
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  type: recall_entity_span
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  value: 0.7402567364403839
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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: 0.5844643372798152
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- - name: Precision
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  type: precision
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  value: 0.6588541666666666
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- - name: Recall
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  type: recall
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  value: 0.5251686559418786
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- - name: F1 (macro)
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  type: f1_macro
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  value: 0.5421676095032785
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- - name: Precision (macro)
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  type: precision_macro
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  value: 0.6164636587810847
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- - name: Recall (macro)
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  type: recall_macro
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  value: 0.4850420088484678
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- - name: F1 (entity span)
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  type: f1_entity_span
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  value: 0.7086341322552699
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- - name: Precision (entity span)
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  type: precision_entity_span
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  value: 0.798828125
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- - name: Recall (entity span)
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  type: recall_entity_span
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  value: 0.6367410482615464
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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: 0.6067163296677308
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+ - name: Precision (test_2021)
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  type: precision
24
  value: 0.6207355431889668
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+ - name: Recall (test_2021)
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  type: recall
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  value: 0.5933163737280296
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+ - name: Macro F1 (test_2021)
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  type: f1_macro
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  value: 0.5550005793330179
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+ - name: Macro Precision (test_2021)
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  type: precision_macro
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  value: 0.5693376167794506
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+ - name: Macro Recall (test_2021)
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  type: recall_macro
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  value: 0.541740961323845
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+ - name: Entity Span F1 (test_2021)
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  type: f1_entity_span
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  value: 0.7572011592831372
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+ - name: Entity Span Precision (test_2020)
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  type: precision_entity_span
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  value: 0.7749394673123486
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+ - name: Entity Span Recall (test_2021)
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  type: recall_entity_span
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  value: 0.7402567364403839
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+ - name: F1 (test_2020)
 
 
 
 
 
 
 
 
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  type: f1
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  value: 0.5844643372798152
49
+ - name: Precision (test_2020)
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  type: precision
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  value: 0.6588541666666666
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+ - name: Recall (test_2020)
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  type: recall
54
  value: 0.5251686559418786
55
+ - name: Macro F1 (test_2020)
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  type: f1_macro
57
  value: 0.5421676095032785
58
+ - name: Macro Precision (test_2020)
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  type: precision_macro
60
  value: 0.6164636587810847
61
+ - name: Macro Recall (test_2020)
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  type: recall_macro
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  value: 0.4850420088484678
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+ - name: Entity Span F1 (test_2020)
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  type: f1_entity_span
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  value: 0.7086341322552699
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+ - name: Entity Span Precision (test_2020)
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  type: precision_entity_span
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  value: 0.798828125
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+ - name: Entity Span Recall (test_2020)
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  type: recall_entity_span
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  value: 0.6367410482615464
73