Librarian Bot: Add base_model information to model
#2
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-large-tweetner7-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: 0.6646206308610401
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value: 0.653515144741254
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value: 0.6761100832562442
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value: 0.6187282305429461
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value: 0.6069581336386037
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value: 0.6359356515638321
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value: 0.7953163189905075
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value: 0.7820254862508383
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value: 0.8090667283450907
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value: 0.6675704989154012
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value: 0.6990346394094265
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value: 0.6388168137000519
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value: 0.6307734401161805
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value: 0.6616549497337102
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value: 0.6085863177550797
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value: 0.7759088442756376
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value: 0.8129619101762365
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value: 0.742086144265698
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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-large-tweetner7-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: vinai/bertweet-large
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model-index:
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- name: tner/bertweet-large-tweetner7-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: 0.6646206308610401
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name: F1 (test_2021)
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- type: precision
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value: 0.653515144741254
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name: Precision (test_2021)
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- type: recall
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value: 0.6761100832562442
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name: Recall (test_2021)
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- type: f1_macro
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value: 0.6187282305429461
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name: Macro F1 (test_2021)
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- type: precision_macro
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value: 0.6069581336386037
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name: Macro Precision (test_2021)
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- type: recall_macro
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value: 0.6359356515638321
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name: Macro Recall (test_2021)
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- type: f1_entity_span
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value: 0.7953163189905075
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name: Entity Span F1 (test_2021)
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- type: precision_entity_span
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value: 0.7820254862508383
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name: Entity Span Precision (test_2020)
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- type: recall_entity_span
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value: 0.8090667283450907
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name: Entity Span Recall (test_2021)
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- type: f1
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value: 0.6675704989154012
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name: F1 (test_2020)
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- type: precision
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value: 0.6990346394094265
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name: Precision (test_2020)
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- type: recall
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value: 0.6388168137000519
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name: Recall (test_2020)
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- type: f1_macro
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value: 0.6307734401161805
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name: Macro F1 (test_2020)
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- type: precision_macro
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value: 0.6616549497337102
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name: Macro Precision (test_2020)
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- type: recall_macro
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value: 0.6085863177550797
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name: Macro Recall (test_2020)
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- type: f1_entity_span
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value: 0.7759088442756376
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name: Entity Span F1 (test_2020)
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- type: precision_entity_span
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value: 0.8129619101762365
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name: Entity Span Precision (test_2020)
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- type: recall_entity_span
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value: 0.742086144265698
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name: Entity Span Recall (test_2020)
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---
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# tner/bertweet-large-tweetner7-all
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