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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: 0.6286510590858417
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- - name: Precision
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  type: precision
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  value: 0.6068661213947482
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- - name: Recall
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  type: recall
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  value: 0.6520582793709528
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- - name: F1 (macro)
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  type: f1_macro
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  value: 0.5826193263874178
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- - name: Precision (macro)
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  type: precision_macro
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  value: 0.5604713618790561
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- - name: Recall (macro)
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  type: recall_macro
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  value: 0.6077023445382103
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- - name: F1 (entity span)
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  type: f1_entity_span
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  value: 0.7649255811360722
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- - name: Precision (entity span)
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  type: precision_entity_span
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  value: 0.7383770985794231
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- - name: Recall (entity span)
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  type: recall_entity_span
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  value: 0.7934543772406615
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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: 0.6439333862014274
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- - name: Precision
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  type: precision
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  value: 0.65625
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- - name: Recall
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  type: recall
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  value: 0.6320705760249092
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- - name: F1 (macro)
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  type: f1_macro
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  value: 0.6031387609223192
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- - name: Precision (macro)
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  type: precision_macro
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  value: 0.6135739317575558
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- - name: Recall (macro)
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  type: recall_macro
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  value: 0.5938222468969824
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- - name: F1 (entity span)
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  type: f1_entity_span
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  value: 0.7565424266455195
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- - name: Precision (entity span)
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  type: precision_entity_span
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  value: 0.7710129310344828
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- - name: Recall (entity span)
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  type: recall_entity_span
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  value: 0.7426050856253243
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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: 0.6286510590858417
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+ - name: Precision (test_2021)
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  type: precision
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  value: 0.6068661213947482
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+ - name: Recall (test_2021)
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  type: recall
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  value: 0.6520582793709528
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+ - name: Macro F1 (test_2021)
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  type: f1_macro
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  value: 0.5826193263874178
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+ - name: Macro Precision (test_2021)
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  type: precision_macro
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  value: 0.5604713618790561
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+ - name: Macro Recall (test_2021)
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  type: recall_macro
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  value: 0.6077023445382103
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+ - name: Entity Span F1 (test_2021)
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  type: f1_entity_span
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  value: 0.7649255811360722
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+ - name: Entity Span Precision (test_2020)
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  type: precision_entity_span
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  value: 0.7383770985794231
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+ - name: Entity Span Recall (test_2021)
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  type: recall_entity_span
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  value: 0.7934543772406615
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+ - name: F1 (test_2020)
 
 
 
 
 
 
 
 
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  type: f1
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  value: 0.6439333862014274
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+ - name: Precision (test_2020)
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  type: precision
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  value: 0.65625
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+ - name: Recall (test_2020)
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  type: recall
54
  value: 0.6320705760249092
55
+ - name: Macro F1 (test_2020)
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  type: f1_macro
57
  value: 0.6031387609223192
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+ - name: Macro Precision (test_2020)
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  type: precision_macro
60
  value: 0.6135739317575558
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+ - name: Macro Recall (test_2020)
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  type: recall_macro
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  value: 0.5938222468969824
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+ - name: Entity Span F1 (test_2020)
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  type: f1_entity_span
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  value: 0.7565424266455195
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+ - name: Entity Span Precision (test_2020)
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  type: precision_entity_span
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  value: 0.7710129310344828
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+ - name: Entity Span Recall (test_2020)
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  type: recall_entity_span
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  value: 0.7426050856253243
73