Librarian Bot: Add base_model information to model
#1
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/bertweet-base-tweetner7-2021
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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: 0.6308962917798349
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value: 0.6058767167039285
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value: 0.6580712303422757
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value: 0.5735468406550763
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value: 0.5503198173085064
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value: 0.6012922054817469
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value: 0.7788214245778822
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value: 0.7538694663924668
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value: 0.8054816699433329
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value: 0.6205787781350482
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value: 0.6415512465373961
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value: 0.6009340944473275
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value: 0.5723158793505982
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value: 0.5910271170769507
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value: 0.5568451570610017
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value: 0.7595141700404859
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value: 0.7913385826771654
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value: 0.7301504929942917
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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/bertweet-base-tweetner7-2021
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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: vinai/bertweet-base
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model-index:
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- name: tner/bertweet-base-tweetner7-2021
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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: 0.6308962917798349
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name: F1 (test_2021)
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- type: precision
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value: 0.6058767167039285
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name: Precision (test_2021)
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- type: recall
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value: 0.6580712303422757
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name: Recall (test_2021)
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- type: f1_macro
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value: 0.5735468406550763
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name: Macro F1 (test_2021)
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- type: precision_macro
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value: 0.5503198173085064
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name: Macro Precision (test_2021)
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- type: recall_macro
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value: 0.6012922054817469
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name: Macro Recall (test_2021)
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- type: f1_entity_span
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value: 0.7788214245778822
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name: Entity Span F1 (test_2021)
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- type: precision_entity_span
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value: 0.7538694663924668
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name: Entity Span Precision (test_2020)
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- type: recall_entity_span
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value: 0.8054816699433329
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name: Entity Span Recall (test_2021)
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- type: f1
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value: 0.6205787781350482
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name: F1 (test_2020)
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- type: precision
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value: 0.6415512465373961
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name: Precision (test_2020)
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- type: recall
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value: 0.6009340944473275
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name: Recall (test_2020)
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- type: f1_macro
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value: 0.5723158793505982
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name: Macro F1 (test_2020)
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- type: precision_macro
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value: 0.5910271170769507
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name: Macro Precision (test_2020)
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- type: recall_macro
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value: 0.5568451570610017
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name: Macro Recall (test_2020)
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- type: f1_entity_span
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value: 0.7595141700404859
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name: Entity Span F1 (test_2020)
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- type: precision_entity_span
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value: 0.7913385826771654
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name: Entity Span Precision (test_2020)
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- type: recall_entity_span
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value: 0.7301504929942917
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name: Entity Span Recall (test_2020)
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---
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# tner/bertweet-base-tweetner7-2021
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