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: 0.6401254269555967
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- - name: Precision
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  type: precision
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  value: 0.6205623710780589
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- - name: Recall
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  type: recall
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  value: 0.6609620721554117
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- - name: F1 (macro)
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  type: f1_macro
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  value: 0.5947383155381057
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- - name: Precision (macro)
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  type: precision_macro
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  value: 0.5738855505495571
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- - name: Recall (macro)
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  type: recall_macro
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  value: 0.6206178838164583
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- - name: F1 (entity span)
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  type: f1_entity_span
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  value: 0.7826184343151529
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- - name: Precision (entity span)
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  type: precision_entity_span
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  value: 0.7586581261535121
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- - name: Recall (entity span)
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  type: recall_entity_span
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  value: 0.8081415519833468
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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: 0.659346545259775
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- - name: Precision
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  type: precision
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  value: 0.6812396236856668
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- - name: Recall
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  type: recall
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  value: 0.6388168137000519
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- - name: F1 (macro)
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  type: f1_macro
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  value: 0.6261309560026784
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- - name: Precision (macro)
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  type: precision_macro
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  value: 0.6527657911787169
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- - name: Recall (macro)
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  type: recall_macro
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  value: 0.6111694484964181
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- - name: F1 (entity span)
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  type: f1_entity_span
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  value: 0.7738478027867096
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- - name: Precision (entity span)
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  type: precision_entity_span
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  value: 0.8
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- - name: Recall (entity span)
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  type: recall_entity_span
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  value: 0.749351323300467
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  name: Token Classification
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  type: token-classification
14
  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: 0.6401254269555967
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+ - name: Precision (test_2021)
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  type: precision
24
  value: 0.6205623710780589
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+ - name: Recall (test_2021)
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  type: recall
27
  value: 0.6609620721554117
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+ - name: Macro F1 (test_2021)
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  type: f1_macro
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  value: 0.5947383155381057
31
+ - name: Macro Precision (test_2021)
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  type: precision_macro
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  value: 0.5738855505495571
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+ - name: Macro Recall (test_2021)
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  type: recall_macro
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  value: 0.6206178838164583
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+ - name: Entity Span F1 (test_2021)
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  type: f1_entity_span
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  value: 0.7826184343151529
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+ - name: Entity Span Precision (test_2020)
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  type: precision_entity_span
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  value: 0.7586581261535121
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+ - name: Entity Span Recall (test_2021)
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  type: recall_entity_span
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  value: 0.8081415519833468
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+ - name: F1 (test_2020)
 
 
 
 
 
 
 
 
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  type: f1
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  value: 0.659346545259775
49
+ - name: Precision (test_2020)
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  type: precision
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  value: 0.6812396236856668
52
+ - name: Recall (test_2020)
53
  type: recall
54
  value: 0.6388168137000519
55
+ - name: Macro F1 (test_2020)
56
  type: f1_macro
57
  value: 0.6261309560026784
58
+ - name: Macro Precision (test_2020)
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  type: precision_macro
60
  value: 0.6527657911787169
61
+ - name: Macro Recall (test_2020)
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  type: recall_macro
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  value: 0.6111694484964181
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+ - name: Entity Span F1 (test_2020)
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  type: f1_entity_span
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  value: 0.7738478027867096
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+ - name: Entity Span Precision (test_2020)
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  type: precision_entity_span
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  value: 0.8
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+ - name: Entity Span Recall (test_2020)
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  type: recall_entity_span
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  value: 0.749351323300467
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