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: 0.6526255707762557
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- - name: Precision
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  type: precision
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  value: 0.6443868349864743
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- - name: Recall
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  type: recall
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  value: 0.6610777058279371
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- - name: F1 (macro)
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  type: f1_macro
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  value: 0.6069741859166096
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- - name: Precision (macro)
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  type: precision_macro
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  value: 0.5990170780704488
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- - name: Recall (macro)
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  type: recall_macro
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  value: 0.6172166732079049
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- - name: F1 (entity span)
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  type: f1_entity_span
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  value: 0.7868028997088875
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- - name: Precision (entity span)
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  type: precision_entity_span
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  value: 0.7768259693417493
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- - name: Recall (entity span)
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  type: recall_entity_span
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  value: 0.7970394356424193
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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: 0.6544474393530997
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- - name: Precision
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  type: precision
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  value: 0.680874929893438
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- - name: Recall
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  type: recall
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  value: 0.6299948105864037
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- - name: F1 (macro)
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  type: f1_macro
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  value: 0.6138692748869267
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- - name: Precision (macro)
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  type: precision_macro
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  value: 0.639860659918586
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- - name: Recall (macro)
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  type: recall_macro
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  value: 0.5920548821120473
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- - name: F1 (entity span)
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  type: f1_entity_span
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  value: 0.7586950660555406
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- - name: Precision (entity span)
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  type: precision_entity_span
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  value: 0.7895622895622896
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- - name: Recall (entity span)
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  type: recall_entity_span
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  value: 0.7301504929942917
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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: 0.6526255707762557
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+ - name: Precision (test_2021)
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  type: precision
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  value: 0.6443868349864743
25
+ - name: Recall (test_2021)
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  type: recall
27
  value: 0.6610777058279371
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+ - name: Macro F1 (test_2021)
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  type: f1_macro
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  value: 0.6069741859166096
31
+ - name: Macro Precision (test_2021)
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  type: precision_macro
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  value: 0.5990170780704488
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+ - name: Macro Recall (test_2021)
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  type: recall_macro
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  value: 0.6172166732079049
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+ - name: Entity Span F1 (test_2021)
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  type: f1_entity_span
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  value: 0.7868028997088875
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+ - name: Entity Span Precision (test_2020)
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  type: precision_entity_span
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  value: 0.7768259693417493
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+ - name: Entity Span Recall (test_2021)
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  type: recall_entity_span
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  value: 0.7970394356424193
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+ - name: F1 (test_2020)
 
 
 
 
 
 
 
 
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  type: f1
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  value: 0.6544474393530997
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+ - name: Precision (test_2020)
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  type: precision
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  value: 0.680874929893438
52
+ - name: Recall (test_2020)
53
  type: recall
54
  value: 0.6299948105864037
55
+ - name: Macro F1 (test_2020)
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  type: f1_macro
57
  value: 0.6138692748869267
58
+ - name: Macro Precision (test_2020)
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  type: precision_macro
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  value: 0.639860659918586
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+ - name: Macro Recall (test_2020)
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  type: recall_macro
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  value: 0.5920548821120473
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+ - name: Entity Span F1 (test_2020)
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  type: f1_entity_span
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  value: 0.7586950660555406
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+ - name: Entity Span Precision (test_2020)
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  type: precision_entity_span
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  value: 0.7895622895622896
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+ - name: Entity Span Recall (test_2020)
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  type: recall_entity_span
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  value: 0.7301504929942917
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