asahi417 commited on
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1 Parent(s): 4446b7b

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: 0.6319818203564167
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- - name: Precision
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  type: precision
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  value: 0.6544463710676245
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- - name: Recall
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  type: recall
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  value: 0.6110083256244219
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- - name: F1 (macro)
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  type: f1_macro
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  value: 0.5766988664971804
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- - name: Precision (macro)
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  type: precision_macro
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  value: 0.601237684920777
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- - name: Recall (macro)
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  type: recall_macro
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  value: 0.5559244768648601
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- - name: F1 (entity span)
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  type: f1_entity_span
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  value: 0.7603780356501973
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- - name: Precision (entity span)
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  type: precision_entity_span
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  value: 0.7875108412836079
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- - name: Recall (entity span)
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  type: recall_entity_span
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  value: 0.7350526194055742
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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: 0.6247533126585846
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- - name: Precision
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  type: precision
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  value: 0.6839506172839506
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- - name: Recall
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  type: recall
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  value: 0.5749870264660093
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- - name: F1 (macro)
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  type: f1_macro
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  value: 0.578717595313749
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- - name: Precision (macro)
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  type: precision_macro
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  value: 0.6410778727928796
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- - name: Recall (macro)
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  type: recall_macro
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  value: 0.5301549277792547
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- - name: F1 (entity span)
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  type: f1_entity_span
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  value: 0.7245559627854524
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- - name: Precision (entity span)
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  type: precision_entity_span
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  value: 0.7932098765432098
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- - name: Recall (entity span)
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  type: recall_entity_span
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  value: 0.6668396471198754
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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: 0.6319818203564167
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+ - name: Precision (test_2021)
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  type: precision
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  value: 0.6544463710676245
25
+ - name: Recall (test_2021)
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  type: recall
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  value: 0.6110083256244219
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+ - name: Macro F1 (test_2021)
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  type: f1_macro
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  value: 0.5766988664971804
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+ - name: Macro Precision (test_2021)
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  type: precision_macro
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  value: 0.601237684920777
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+ - name: Macro Recall (test_2021)
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  type: recall_macro
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  value: 0.5559244768648601
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+ - name: Entity Span F1 (test_2021)
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  type: f1_entity_span
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  value: 0.7603780356501973
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+ - name: Entity Span Precision (test_2020)
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  type: precision_entity_span
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  value: 0.7875108412836079
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+ - name: Entity Span Recall (test_2021)
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  type: recall_entity_span
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  value: 0.7350526194055742
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+ - name: F1 (test_2020)
 
 
 
 
 
 
 
 
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  type: f1
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  value: 0.6247533126585846
49
+ - name: Precision (test_2020)
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  type: precision
51
  value: 0.6839506172839506
52
+ - name: Recall (test_2020)
53
  type: recall
54
  value: 0.5749870264660093
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+ - name: Macro F1 (test_2020)
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  type: f1_macro
57
  value: 0.578717595313749
58
+ - name: Macro Precision (test_2020)
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  type: precision_macro
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  value: 0.6410778727928796
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+ - name: Macro Recall (test_2020)
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  type: recall_macro
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  value: 0.5301549277792547
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+ - name: Entity Span F1 (test_2020)
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  type: f1_entity_span
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  value: 0.7245559627854524
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+ - name: Entity Span Precision (test_2020)
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  type: precision_entity_span
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  value: 0.7932098765432098
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+ - name: Entity Span Recall (test_2020)
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  type: recall_entity_span
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  value: 0.6668396471198754
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