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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: 0.6587179789871326
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- - name: Precision
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  type: precision
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  value: 0.6727755003617073
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- - name: Recall
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  type: recall
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  value: 0.6452358926919519
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- - name: F1 (macro)
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  type: f1_macro
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  value: 0.6107285696131857
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- - name: Precision (macro)
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  type: precision_macro
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  value: 0.6215631908472189
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- - name: Recall (macro)
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  type: recall_macro
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  value: 0.6039860329938679
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- - name: F1 (entity span)
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  type: f1_entity_span
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  value: 0.7843692816244613
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- - name: Precision (entity span)
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  type: precision_entity_span
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  value: 0.8010610079575596
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- - name: Recall (entity span)
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  type: recall_entity_span
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  value: 0.7683589684283566
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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: 0.6475869809203142
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- - name: Precision
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  type: precision
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  value: 0.7049480757483201
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- - name: Recall
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  type: recall
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  value: 0.598858329008822
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- - name: F1 (macro)
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  type: f1_macro
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  value: 0.6057800656625983
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- - name: Precision (macro)
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  type: precision_macro
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  value: 0.6627892226359489
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- - name: Recall (macro)
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  type: recall_macro
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  value: 0.5669673771050993
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- - name: F1 (entity span)
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  type: f1_entity_span
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  value: 0.755331088664422
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- - name: Precision (entity span)
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  type: precision_entity_span
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  value: 0.8222357971899816
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- - name: Recall (entity span)
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  type: recall_entity_span
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  value: 0.6984950700570836
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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: 0.6587179789871326
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+ - name: Precision (test_2021)
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  type: precision
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  value: 0.6727755003617073
25
+ - name: Recall (test_2021)
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  type: recall
27
  value: 0.6452358926919519
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+ - name: Macro F1 (test_2021)
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  type: f1_macro
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  value: 0.6107285696131857
31
+ - name: Macro Precision (test_2021)
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  type: precision_macro
33
  value: 0.6215631908472189
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+ - name: Macro Recall (test_2021)
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  type: recall_macro
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  value: 0.6039860329938679
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+ - name: Entity Span F1 (test_2021)
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  type: f1_entity_span
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  value: 0.7843692816244613
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+ - name: Entity Span Precision (test_2020)
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  type: precision_entity_span
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  value: 0.8010610079575596
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+ - name: Entity Span Recall (test_2021)
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  type: recall_entity_span
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  value: 0.7683589684283566
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+ - name: F1 (test_2020)
 
 
 
 
 
 
 
 
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  type: f1
48
  value: 0.6475869809203142
49
+ - name: Precision (test_2020)
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  type: precision
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  value: 0.7049480757483201
52
+ - name: Recall (test_2020)
53
  type: recall
54
  value: 0.598858329008822
55
+ - name: Macro F1 (test_2020)
56
  type: f1_macro
57
  value: 0.6057800656625983
58
+ - name: Macro Precision (test_2020)
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  type: precision_macro
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  value: 0.6627892226359489
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+ - name: Macro Recall (test_2020)
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  type: recall_macro
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  value: 0.5669673771050993
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+ - name: Entity Span F1 (test_2020)
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  type: f1_entity_span
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  value: 0.755331088664422
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+ - name: Entity Span Precision (test_2020)
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  type: precision_entity_span
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  value: 0.8222357971899816
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+ - name: Entity Span Recall (test_2020)
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  type: recall_entity_span
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  value: 0.6984950700570836
73