asahi417 commited on
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4df1649
1 Parent(s): d29ec07

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: 0.6641431520991053
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- - name: Precision
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  type: precision
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  value: 0.6588529813381885
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- - name: Recall
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  type: recall
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  value: 0.6695189639222942
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- - name: F1 (macro)
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  type: f1_macro
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  value: 0.6165782134695219
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- - name: Precision (macro)
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  type: precision_macro
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  value: 0.6102975783874098
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- - name: Recall (macro)
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  type: recall_macro
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  value: 0.6256153624327598
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- - name: F1 (entity span)
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  type: f1_entity_span
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  value: 0.7896759392027531
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- - name: Precision (entity span)
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  type: precision_entity_span
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  value: 0.783340919435594
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- - name: Recall (entity span)
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  type: recall_entity_span
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  value: 0.7961142592806754
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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: 0.6587912087912088
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- - name: Precision
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  type: precision
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  value: 0.6999416228838296
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- - name: Recall
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  type: recall
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  value: 0.6222106901920083
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- - name: F1 (macro)
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  type: f1_macro
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  value: 0.6182374585427982
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- - name: Precision (macro)
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  type: precision_macro
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  value: 0.6571485734047059
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- - name: Recall (macro)
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  type: recall_macro
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  value: 0.5865594344408018
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- - name: F1 (entity span)
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  type: f1_entity_span
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  value: 0.7641561297416162
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- - name: Precision (entity span)
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  type: precision_entity_span
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  value: 0.8123904149620105
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- - name: Recall (entity span)
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  type: recall_entity_span
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  value: 0.7213284898806435
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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: 0.6641431520991053
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+ - name: Precision (test_2021)
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  type: precision
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  value: 0.6588529813381885
25
+ - name: Recall (test_2021)
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  type: recall
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  value: 0.6695189639222942
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+ - name: Macro F1 (test_2021)
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  type: f1_macro
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  value: 0.6165782134695219
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+ - name: Macro Precision (test_2021)
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  type: precision_macro
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  value: 0.6102975783874098
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+ - name: Macro Recall (test_2021)
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  type: recall_macro
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  value: 0.6256153624327598
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+ - name: Entity Span F1 (test_2021)
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  type: f1_entity_span
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  value: 0.7896759392027531
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+ - name: Entity Span Precision (test_2020)
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  type: precision_entity_span
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  value: 0.783340919435594
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+ - name: Entity Span Recall (test_2021)
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  type: recall_entity_span
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  value: 0.7961142592806754
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+ - name: F1 (test_2020)
 
 
 
 
 
 
 
 
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  type: f1
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  value: 0.6587912087912088
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+ - name: Precision (test_2020)
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  type: precision
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  value: 0.6999416228838296
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+ - name: Recall (test_2020)
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  type: recall
54
  value: 0.6222106901920083
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+ - name: Macro F1 (test_2020)
56
  type: f1_macro
57
  value: 0.6182374585427982
58
+ - name: Macro Precision (test_2020)
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  type: precision_macro
60
  value: 0.6571485734047059
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+ - name: Macro Recall (test_2020)
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  type: recall_macro
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  value: 0.5865594344408018
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+ - name: Entity Span F1 (test_2020)
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  type: f1_entity_span
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  value: 0.7641561297416162
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+ - name: Entity Span Precision (test_2020)
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  type: precision_entity_span
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  value: 0.8123904149620105
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+ - name: Entity Span Recall (test_2020)
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  type: recall_entity_span
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  value: 0.7213284898806435
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