asahi417 commited on
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4de5897
1 Parent(s): 5664b12

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: 0.6555135815794207
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- - name: Precision
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  type: precision
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  value: 0.6807821646531323
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- - name: Recall
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  type: recall
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  value: 0.6320536540240518
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- - name: F1 (macro)
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  type: f1_macro
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  value: 0.5958197063152341
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- - name: Precision (macro)
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  type: precision_macro
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  value: 0.6249946723205074
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- - name: Recall (macro)
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  type: recall_macro
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  value: 0.5736622995381765
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- - name: F1 (entity span)
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  type: f1_entity_span
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  value: 0.7780043175821539
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- - name: Precision (entity span)
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  type: precision_entity_span
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  value: 0.8079461950429693
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- - name: Recall (entity span)
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  type: recall_entity_span
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  value: 0.7502023823291315
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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: 0.6389047347404451
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- - name: Precision
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  type: precision
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  value: 0.7093096896770108
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- - name: Recall
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  type: recall
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  value: 0.5812143227815257
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- - name: F1 (macro)
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  type: f1_macro
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  value: 0.586121467459777
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- - name: Precision (macro)
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  type: precision_macro
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  value: 0.6621669635440725
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- - name: Recall (macro)
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  type: recall_macro
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  value: 0.5294767225396645
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- - name: F1 (entity span)
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  type: f1_entity_span
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  value: 0.7438676554478039
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- - name: Precision (entity span)
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  type: precision_entity_span
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  value: 0.8258391386953768
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- - name: Recall (entity span)
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  type: recall_entity_span
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  value: 0.6766995329527763
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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: 0.6555135815794207
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+ - name: Precision (test_2021)
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  type: precision
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  value: 0.6807821646531323
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+ - name: Recall (test_2021)
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  type: recall
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  value: 0.6320536540240518
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+ - name: Macro F1 (test_2021)
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  type: f1_macro
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  value: 0.5958197063152341
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+ - name: Macro Precision (test_2021)
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  type: precision_macro
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  value: 0.6249946723205074
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+ - name: Macro Recall (test_2021)
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  type: recall_macro
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  value: 0.5736622995381765
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+ - name: Entity Span F1 (test_2021)
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  type: f1_entity_span
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  value: 0.7780043175821539
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+ - name: Entity Span Precision (test_2020)
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  type: precision_entity_span
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  value: 0.8079461950429693
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+ - name: Entity Span Recall (test_2021)
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  type: recall_entity_span
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  value: 0.7502023823291315
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+ - name: F1 (test_2020)
 
 
 
 
 
 
 
 
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  type: f1
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  value: 0.6389047347404451
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+ - name: Precision (test_2020)
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  type: precision
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  value: 0.7093096896770108
52
+ - name: Recall (test_2020)
53
  type: recall
54
  value: 0.5812143227815257
55
+ - name: Macro F1 (test_2020)
56
  type: f1_macro
57
  value: 0.586121467459777
58
+ - name: Macro Precision (test_2020)
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  type: precision_macro
60
  value: 0.6621669635440725
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+ - name: Macro Recall (test_2020)
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  type: recall_macro
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  value: 0.5294767225396645
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+ - name: Entity Span F1 (test_2020)
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  type: f1_entity_span
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  value: 0.7438676554478039
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+ - name: Entity Span Precision (test_2020)
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  type: precision_entity_span
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  value: 0.8258391386953768
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+ - name: Entity Span Recall (test_2020)
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  type: recall_entity_span
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  value: 0.6766995329527763
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