Librarian Bot: Add base_model information to model
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by
librarian-bot
- opened
README.md
CHANGED
@@ -5,76 +5,77 @@ metrics:
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- f1
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- precision
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- recall
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model-index:
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- name: tner/roberta-large-tweetner7-2020-selflabel2021-all
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results:
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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
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type: tner/tweetner7
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args: tner/tweetner7
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metrics:
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type: f1
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value: 0.6451758087201125
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value: 0.6282458639202366
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value: 0.6630434782608695
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value: 0.5945137835095485
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value: 0.5791991181065553
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value: 0.6195808065595296
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value: 0.7849668054461573
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value: 0.7643256272597787
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value: 0.8067537874407309
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value: 0.6605206073752712
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value: 0.6916524701873935
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value: 0.6320705760249092
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value: 0.6182768841282975
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value: 0.646958757311601
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value: 0.600022393469146
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value: 0.769397721106891
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value: 0.8061398521887436
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value: 0.7358588479501816
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pipeline_tag: token-classification
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widget:
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- text: "Get the all-analog Classic Vinyl Edition of `Takin' Off` Album from {@herbiehancock@} via {@bluenoterecords@} link below: {{URL}}"
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example_title: "NER Example 1"
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---
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# tner/roberta-large-tweetner7-2020-selflabel2021-all
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- f1
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- precision
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- recall
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pipeline_tag: token-classification
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widget:
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- text: 'Get the all-analog Classic Vinyl Edition of `Takin'' Off` Album from {@herbiehancock@}
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via {@bluenoterecords@} link below: {{URL}}'
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example_title: NER Example 1
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base_model: roberta-large
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model-index:
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- name: tner/roberta-large-tweetner7-2020-selflabel2021-all
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results:
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- task:
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type: token-classification
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name: 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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- type: f1
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value: 0.6451758087201125
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name: F1 (test_2021)
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- type: precision
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value: 0.6282458639202366
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name: Precision (test_2021)
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- type: recall
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value: 0.6630434782608695
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name: Recall (test_2021)
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- type: f1_macro
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value: 0.5945137835095485
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name: Macro F1 (test_2021)
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- type: precision_macro
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value: 0.5791991181065553
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name: Macro Precision (test_2021)
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- type: recall_macro
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value: 0.6195808065595296
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name: Macro Recall (test_2021)
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- type: f1_entity_span
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value: 0.7849668054461573
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name: Entity Span F1 (test_2021)
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- type: precision_entity_span
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value: 0.7643256272597787
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name: Entity Span Precision (test_2020)
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- type: recall_entity_span
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value: 0.8067537874407309
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name: Entity Span Recall (test_2021)
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- type: f1
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value: 0.6605206073752712
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name: F1 (test_2020)
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- type: precision
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value: 0.6916524701873935
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name: Precision (test_2020)
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- type: recall
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value: 0.6320705760249092
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name: Recall (test_2020)
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- type: f1_macro
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value: 0.6182768841282975
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name: Macro F1 (test_2020)
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- type: precision_macro
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value: 0.646958757311601
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name: Macro Precision (test_2020)
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- type: recall_macro
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value: 0.600022393469146
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name: Macro Recall (test_2020)
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- type: f1_entity_span
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value: 0.769397721106891
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name: Entity Span F1 (test_2020)
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- type: precision_entity_span
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value: 0.8061398521887436
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name: Entity Span Precision (test_2020)
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- type: recall_entity_span
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value: 0.7358588479501816
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name: Entity Span Recall (test_2020)
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---
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# tner/roberta-large-tweetner7-2020-selflabel2021-all
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