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: 0.6289961994187345
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- - name: Precision
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  type: precision
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  value: 0.6087191691908265
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- - name: Recall
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  type: recall
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  value: 0.6506706753006476
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- - name: F1 (macro)
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  type: f1_macro
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  value: 0.5812541319576294
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- - name: Precision (macro)
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  type: precision_macro
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  value: 0.5735814298740157
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- - name: Recall (macro)
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  type: recall_macro
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  value: 0.5939651947848222
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- - name: F1 (entity span)
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  type: f1_entity_span
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  value: 0.7649656251746688
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- - name: Precision (entity span)
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  type: precision_entity_span
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  value: 0.7402639549978365
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- - name: Recall (entity span)
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  type: recall_entity_span
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  value: 0.7913727304267376
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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: 0.6161290322580646
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- - name: Precision
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  type: precision
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  value: 0.6391522587841606
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- - name: Recall
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  type: recall
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  value: 0.5947067981318112
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- - name: F1 (macro)
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  type: f1_macro
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  value: 0.5683990688463066
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- - name: Precision (macro)
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  type: precision_macro
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  value: 0.6097755448151788
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- - name: Recall (macro)
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  type: recall_macro
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  value: 0.5400218465464566
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- - name: F1 (entity span)
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  type: f1_entity_span
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  value: 0.7446236559139785
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- - name: Precision (entity span)
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  type: precision_entity_span
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  value: 0.7724484104852203
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- - name: Recall (entity span)
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  type: recall_entity_span
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  value: 0.7187337830825117
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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: 0.6289961994187345
22
+ - name: Precision (test_2021)
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  type: precision
24
  value: 0.6087191691908265
25
+ - name: Recall (test_2021)
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  type: recall
27
  value: 0.6506706753006476
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+ - name: Macro F1 (test_2021)
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  type: f1_macro
30
  value: 0.5812541319576294
31
+ - name: Macro Precision (test_2021)
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  type: precision_macro
33
  value: 0.5735814298740157
34
+ - name: Macro Recall (test_2021)
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  type: recall_macro
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  value: 0.5939651947848222
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+ - name: Entity Span F1 (test_2021)
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  type: f1_entity_span
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  value: 0.7649656251746688
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+ - name: Entity Span Precision (test_2020)
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  type: precision_entity_span
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  value: 0.7402639549978365
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+ - name: Entity Span Recall (test_2021)
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  type: recall_entity_span
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  value: 0.7913727304267376
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+ - name: F1 (test_2020)
 
 
 
 
 
 
 
 
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  type: f1
48
  value: 0.6161290322580646
49
+ - name: Precision (test_2020)
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  type: precision
51
  value: 0.6391522587841606
52
+ - name: Recall (test_2020)
53
  type: recall
54
  value: 0.5947067981318112
55
+ - name: Macro F1 (test_2020)
56
  type: f1_macro
57
  value: 0.5683990688463066
58
+ - name: Macro Precision (test_2020)
59
  type: precision_macro
60
  value: 0.6097755448151788
61
+ - name: Macro Recall (test_2020)
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  type: recall_macro
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  value: 0.5400218465464566
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+ - name: Entity Span F1 (test_2020)
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  type: f1_entity_span
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  value: 0.7446236559139785
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+ - name: Entity Span Precision (test_2020)
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  type: precision_entity_span
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  value: 0.7724484104852203
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+ - name: Entity Span Recall (test_2020)
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  type: recall_entity_span
72
  value: 0.7187337830825117
73