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: 0.6515831894070236
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- - name: Precision
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  type: precision
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  value: 0.6488190781930749
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- - name: Recall
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  type: recall
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  value: 0.6543709528214616
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- - name: F1 (macro)
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  type: f1_macro
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  value: 0.6081318073591985
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- - name: Precision (macro)
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  type: precision_macro
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  value: 0.6024892144112918
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- - name: Recall (macro)
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  type: recall_macro
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  value: 0.6155807376978756
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- - name: F1 (entity span)
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  type: f1_entity_span
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  value: 0.7893373251194657
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- - name: Precision (entity span)
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  type: precision_entity_span
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  value: 0.7859435909195138
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- - name: Recall (entity span)
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  type: recall_entity_span
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  value: 0.7927604949693535
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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: 0.6531839300355288
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- - name: Precision
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  type: precision
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  value: 0.6899538106235565
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- - name: Recall
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  type: recall
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  value: 0.6201349247535028
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- - name: F1 (macro)
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  type: f1_macro
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  value: 0.6166186507300974
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- - name: Precision (macro)
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  type: precision_macro
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  value: 0.6523781324413148
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- - name: Recall (macro)
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  type: recall_macro
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  value: 0.5860926262979317
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- - name: F1 (entity span)
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  type: f1_entity_span
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  value: 0.7523236741388737
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- - name: Precision (entity span)
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  type: precision_entity_span
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  value: 0.7949162333911034
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- - name: Recall (entity span)
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  type: recall_entity_span
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  value: 0.7140633108458744
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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: 0.6515831894070236
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+ - name: Precision (test_2021)
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  type: precision
24
  value: 0.6488190781930749
25
+ - name: Recall (test_2021)
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  type: recall
27
  value: 0.6543709528214616
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+ - name: Macro F1 (test_2021)
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  type: f1_macro
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  value: 0.6081318073591985
31
+ - name: Macro Precision (test_2021)
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  type: precision_macro
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  value: 0.6024892144112918
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+ - name: Macro Recall (test_2021)
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  type: recall_macro
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  value: 0.6155807376978756
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+ - name: Entity Span F1 (test_2021)
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  type: f1_entity_span
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  value: 0.7893373251194657
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+ - name: Entity Span Precision (test_2020)
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  type: precision_entity_span
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  value: 0.7859435909195138
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+ - name: Entity Span Recall (test_2021)
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  type: recall_entity_span
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  value: 0.7927604949693535
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+ - name: F1 (test_2020)
 
 
 
 
 
 
 
 
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  type: f1
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  value: 0.6531839300355288
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+ - name: Precision (test_2020)
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  type: precision
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  value: 0.6899538106235565
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+ - name: Recall (test_2020)
53
  type: recall
54
  value: 0.6201349247535028
55
+ - name: Macro F1 (test_2020)
56
  type: f1_macro
57
  value: 0.6166186507300974
58
+ - name: Macro Precision (test_2020)
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  type: precision_macro
60
  value: 0.6523781324413148
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+ - name: Macro Recall (test_2020)
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  type: recall_macro
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  value: 0.5860926262979317
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+ - name: Entity Span F1 (test_2020)
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  type: f1_entity_span
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  value: 0.7523236741388737
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+ - name: Entity Span Precision (test_2020)
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  type: precision_entity_span
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  value: 0.7949162333911034
70
+ - name: Entity Span Recall (test_2020)
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  type: recall_entity_span
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  value: 0.7140633108458744
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