asahi417 commited on
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1 Parent(s): bfb0923

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: 0.6008989019741707
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- - name: Precision
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  type: precision
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  value: 0.591443610706686
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- - name: Recall
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  type: recall
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  value: 0.6106614246068455
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- - name: F1 (macro)
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  type: f1_macro
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  value: 0.5467450408285621
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- - name: Precision (macro)
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  type: precision_macro
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  value: 0.537717358363018
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- - name: Recall (macro)
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  type: recall_macro
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  value: 0.5582367980568581
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- - name: F1 (entity span)
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  type: f1_entity_span
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  value: 0.7560892328704758
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- - name: Precision (entity span)
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  type: precision_entity_span
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  value: 0.744313725490196
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- - name: Recall (entity span)
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  type: recall_entity_span
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  value: 0.7682433213831387
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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: 0.6087425796006476
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- - name: Precision
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  type: precision
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  value: 0.6340640809443507
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- - name: Recall
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  type: recall
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  value: 0.5853658536585366
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- - name: F1 (macro)
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  type: f1_macro
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  value: 0.5648877924450979
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- - name: Precision (macro)
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  type: precision_macro
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  value: 0.5930039411771633
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- - name: Recall (macro)
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  type: recall_macro
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  value: 0.5426595099078766
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- - name: F1 (entity span)
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  type: f1_entity_span
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  value: 0.7242309767943875
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- - name: Precision (entity span)
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  type: precision_entity_span
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  value: 0.7543563799887577
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- - name: Recall (entity span)
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  type: recall_entity_span
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  value: 0.6964193046185781
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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: 0.6008989019741707
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+ - name: Precision (test_2021)
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  type: precision
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  value: 0.591443610706686
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+ - name: Recall (test_2021)
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  type: recall
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  value: 0.6106614246068455
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+ - name: Macro F1 (test_2021)
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  type: f1_macro
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  value: 0.5467450408285621
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+ - name: Macro Precision (test_2021)
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  type: precision_macro
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  value: 0.537717358363018
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+ - name: Macro Recall (test_2021)
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  type: recall_macro
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  value: 0.5582367980568581
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+ - name: Entity Span F1 (test_2021)
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  type: f1_entity_span
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  value: 0.7560892328704758
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+ - name: Entity Span Precision (test_2020)
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  type: precision_entity_span
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  value: 0.744313725490196
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+ - name: Entity Span Recall (test_2021)
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  type: recall_entity_span
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  value: 0.7682433213831387
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+ - name: F1 (test_2020)
 
 
 
 
 
 
 
 
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  type: f1
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  value: 0.6087425796006476
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+ - name: Precision (test_2020)
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  type: precision
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  value: 0.6340640809443507
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+ - name: Recall (test_2020)
53
  type: recall
54
  value: 0.5853658536585366
55
+ - name: Macro F1 (test_2020)
56
  type: f1_macro
57
  value: 0.5648877924450979
58
+ - name: Macro Precision (test_2020)
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  type: precision_macro
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  value: 0.5930039411771633
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+ - name: Macro Recall (test_2020)
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  type: recall_macro
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  value: 0.5426595099078766
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+ - name: Entity Span F1 (test_2020)
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  type: f1_entity_span
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  value: 0.7242309767943875
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+ - name: Entity Span Precision (test_2020)
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  type: precision_entity_span
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  value: 0.7543563799887577
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+ - name: Entity Span Recall (test_2020)
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  type: recall_entity_span
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  value: 0.6964193046185781
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