asahi417 commited on
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1 Parent(s): b9ebd44

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: 0.6358014184397163
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- - name: Precision
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  type: precision
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  value: 0.6241506071070514
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- - name: Recall
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  type: recall
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  value: 0.647895467160037
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- - name: F1 (macro)
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  type: f1_macro
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  value: 0.5900128438830615
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- - name: Precision (macro)
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  type: precision_macro
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  value: 0.5789290375636192
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- - name: Recall (macro)
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  type: recall_macro
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  value: 0.6041427086183797
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- - name: F1 (entity span)
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  type: f1_entity_span
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  value: 0.7721468702116793
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- - name: Precision (entity span)
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  type: precision_entity_span
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  value: 0.7580788945843548
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- - name: Recall (entity span)
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  type: recall_entity_span
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  value: 0.7867468486180178
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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: 0.6248982912937348
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- - name: Precision
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  type: precision
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  value: 0.6545454545454545
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- - name: Recall
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  type: recall
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  value: 0.5978204462895693
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- - name: F1 (macro)
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  type: f1_macro
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  value: 0.5862888361879851
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- - name: Precision (macro)
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  type: precision_macro
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  value: 0.616927771523058
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- - name: Recall (macro)
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  type: recall_macro
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  value: 0.5608699203922957
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- - name: F1 (entity span)
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  type: f1_entity_span
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  value: 0.7357569180683668
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- - name: Precision (entity span)
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  type: precision_entity_span
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  value: 0.770892552586697
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- - name: Recall (entity span)
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  type: recall_entity_span
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  value: 0.7036844836533471
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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: 0.6358014184397163
22
+ - name: Precision (test_2021)
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  type: precision
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  value: 0.6241506071070514
25
+ - name: Recall (test_2021)
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  type: recall
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  value: 0.647895467160037
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+ - name: Macro F1 (test_2021)
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  type: f1_macro
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  value: 0.5900128438830615
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+ - name: Macro Precision (test_2021)
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  type: precision_macro
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  value: 0.5789290375636192
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+ - name: Macro Recall (test_2021)
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  type: recall_macro
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  value: 0.6041427086183797
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+ - name: Entity Span F1 (test_2021)
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  type: f1_entity_span
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  value: 0.7721468702116793
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+ - name: Entity Span Precision (test_2020)
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  type: precision_entity_span
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  value: 0.7580788945843548
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+ - name: Entity Span Recall (test_2021)
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  type: recall_entity_span
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  value: 0.7867468486180178
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+ - name: F1 (test_2020)
 
 
 
 
 
 
 
 
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  type: f1
48
  value: 0.6248982912937348
49
+ - name: Precision (test_2020)
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  type: precision
51
  value: 0.6545454545454545
52
+ - name: Recall (test_2020)
53
  type: recall
54
  value: 0.5978204462895693
55
+ - name: Macro F1 (test_2020)
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  type: f1_macro
57
  value: 0.5862888361879851
58
+ - name: Macro Precision (test_2020)
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  type: precision_macro
60
  value: 0.616927771523058
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+ - name: Macro Recall (test_2020)
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  type: recall_macro
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  value: 0.5608699203922957
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+ - name: Entity Span F1 (test_2020)
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  type: f1_entity_span
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  value: 0.7357569180683668
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+ - name: Entity Span Precision (test_2020)
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  type: precision_entity_span
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  value: 0.770892552586697
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+ - name: Entity Span Recall (test_2020)
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  type: recall_entity_span
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  value: 0.7036844836533471
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