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: 0.6308962917798349
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- - name: Precision
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  type: precision
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  value: 0.6058767167039285
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- - name: Recall
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  type: recall
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  value: 0.6580712303422757
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- - name: F1 (macro)
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  type: f1_macro
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  value: 0.5735468406550763
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- - name: Precision (macro)
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  type: precision_macro
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  value: 0.5503198173085064
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- - name: Recall (macro)
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  type: recall_macro
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  value: 0.6012922054817469
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- - name: F1 (entity span)
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  type: f1_entity_span
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  value: 0.7788214245778822
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- - name: Precision (entity span)
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  type: precision_entity_span
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  value: 0.7538694663924668
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- - name: Recall (entity span)
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  type: recall_entity_span
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  value: 0.8054816699433329
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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: 0.6205787781350482
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- - name: Precision
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  type: precision
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  value: 0.6415512465373961
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- - name: Recall
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  type: recall
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  value: 0.6009340944473275
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- - name: F1 (macro)
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  type: f1_macro
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  value: 0.5723158793505982
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- - name: Precision (macro)
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  type: precision_macro
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  value: 0.5910271170769507
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- - name: Recall (macro)
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  type: recall_macro
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  value: 0.5568451570610017
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- - name: F1 (entity span)
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  type: f1_entity_span
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  value: 0.7595141700404859
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- - name: Precision (entity span)
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  type: precision_entity_span
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  value: 0.7913385826771654
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- - name: Recall (entity span)
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  type: recall_entity_span
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  value: 0.7301504929942917
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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: 0.6308962917798349
22
+ - name: Precision (test_2021)
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  type: precision
24
  value: 0.6058767167039285
25
+ - name: Recall (test_2021)
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  type: recall
27
  value: 0.6580712303422757
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+ - name: Macro F1 (test_2021)
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  type: f1_macro
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  value: 0.5735468406550763
31
+ - name: Macro Precision (test_2021)
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  type: precision_macro
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  value: 0.5503198173085064
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+ - name: Macro Recall (test_2021)
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  type: recall_macro
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  value: 0.6012922054817469
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+ - name: Entity Span F1 (test_2021)
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  type: f1_entity_span
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  value: 0.7788214245778822
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+ - name: Entity Span Precision (test_2020)
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  type: precision_entity_span
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  value: 0.7538694663924668
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+ - name: Entity Span Recall (test_2021)
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  type: recall_entity_span
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  value: 0.8054816699433329
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+ - name: F1 (test_2020)
 
 
 
 
 
 
 
 
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  type: f1
48
  value: 0.6205787781350482
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+ - name: Precision (test_2020)
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  type: precision
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  value: 0.6415512465373961
52
+ - name: Recall (test_2020)
53
  type: recall
54
  value: 0.6009340944473275
55
+ - name: Macro F1 (test_2020)
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  type: f1_macro
57
  value: 0.5723158793505982
58
+ - name: Macro Precision (test_2020)
59
  type: precision_macro
60
  value: 0.5910271170769507
61
+ - name: Macro Recall (test_2020)
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  type: recall_macro
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  value: 0.5568451570610017
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+ - name: Entity Span F1 (test_2020)
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  type: f1_entity_span
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  value: 0.7595141700404859
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+ - name: Entity Span Precision (test_2020)
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  type: precision_entity_span
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  value: 0.7913385826771654
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+ - name: Entity Span Recall (test_2020)
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  type: recall_entity_span
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  value: 0.7301504929942917
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