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: 0.6404513989878424
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- - name: Precision
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  type: precision
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  value: 0.6443872176050568
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- - name: Recall
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  type: recall
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  value: 0.6365633672525439
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- - name: F1 (macro)
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  type: f1_macro
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  value: 0.5910583983096561
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- - name: Precision (macro)
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  type: precision_macro
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  value: 0.5928837696021392
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- - name: Recall (macro)
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  type: recall_macro
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  value: 0.5900571634271187
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- - name: F1 (entity span)
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  type: f1_entity_span
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  value: 0.7770796974985457
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- - name: Precision (entity span)
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  type: precision_entity_span
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  value: 0.7818096687346365
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- - name: Recall (entity span)
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  type: recall_entity_span
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  value: 0.7724066150109865
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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: 0.6335644937586686
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- - name: Precision
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  type: precision
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  value: 0.6805721096543504
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- - name: Recall
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  type: recall
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  value: 0.5926310326933056
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- - name: F1 (macro)
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  type: f1_macro
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  value: 0.5914520478690088
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- - name: Precision (macro)
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  type: precision_macro
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  value: 0.6370623744887871
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- - name: Recall (macro)
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  type: recall_macro
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  value: 0.5535477989961968
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- - name: F1 (entity span)
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  type: f1_entity_span
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  value: 0.7436182019977802
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- - name: Precision (entity span)
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  type: precision_entity_span
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  value: 0.7990459153249851
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- - name: Recall (entity span)
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  type: recall_entity_span
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  value: 0.6953814218993254
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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: 0.6404513989878424
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+ - name: Precision (test_2021)
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  type: precision
24
  value: 0.6443872176050568
25
+ - name: Recall (test_2021)
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  type: recall
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  value: 0.6365633672525439
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+ - name: Macro F1 (test_2021)
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  type: f1_macro
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  value: 0.5910583983096561
31
+ - name: Macro Precision (test_2021)
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  type: precision_macro
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  value: 0.5928837696021392
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+ - name: Macro Recall (test_2021)
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  type: recall_macro
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  value: 0.5900571634271187
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+ - name: Entity Span F1 (test_2021)
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  type: f1_entity_span
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  value: 0.7770796974985457
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+ - name: Entity Span Precision (test_2020)
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  type: precision_entity_span
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  value: 0.7818096687346365
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+ - name: Entity Span Recall (test_2021)
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  type: recall_entity_span
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  value: 0.7724066150109865
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+ - name: F1 (test_2020)
 
 
 
 
 
 
 
 
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  type: f1
48
  value: 0.6335644937586686
49
+ - name: Precision (test_2020)
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  type: precision
51
  value: 0.6805721096543504
52
+ - name: Recall (test_2020)
53
  type: recall
54
  value: 0.5926310326933056
55
+ - name: Macro F1 (test_2020)
56
  type: f1_macro
57
  value: 0.5914520478690088
58
+ - name: Macro Precision (test_2020)
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  type: precision_macro
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  value: 0.6370623744887871
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+ - name: Macro Recall (test_2020)
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  type: recall_macro
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  value: 0.5535477989961968
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+ - name: Entity Span F1 (test_2020)
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  type: f1_entity_span
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  value: 0.7436182019977802
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+ - name: Entity Span Precision (test_2020)
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  type: precision_entity_span
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  value: 0.7990459153249851
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+ - name: Entity Span Recall (test_2020)
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  type: recall_entity_span
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  value: 0.6953814218993254
73