Librarian Bot: Add base_model information to model
#2
by
librarian-bot
- opened
README.md
CHANGED
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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- named-entity-recognition
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- russian
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- ner
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language:
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- ru
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thumbnail: "Sberbank RuBERT-base fintuned on Collection3 dataset"
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datasets:
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- RCC-MSU/collection3
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metrics:
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@@ -15,12 +14,14 @@ metrics:
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- recall
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- f1
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- accuracy
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model-index:
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- name: sberbank-rubert-base-collection3
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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: RCC-MSU/collection3
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type: named-entity-recognition
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@@ -28,21 +29,21 @@ model-index:
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split: validation
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args: default
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metrics:
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-
-
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type: precision
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value: 0.938019472809309
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-
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value: 0.9594364828758805
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value: 0.9486071085494716
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-
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value: 0.9860420020488805
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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: RCC-MSU/collection3
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type: named-entity-recognition
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@@ -50,18 +51,18 @@ model-index:
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split: test
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args: default
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metrics:
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-
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type: precision
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value: 0.9419896321895829
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-
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value: 0.9537615596100975
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-
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-
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value: 0.947839046199702
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-
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-
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value: 0.9847255179564897
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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---
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language:
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- ru
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license: apache-2.0
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tags:
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- generated_from_trainer
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- named-entity-recognition
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- russian
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- ner
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datasets:
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- RCC-MSU/collection3
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metrics:
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- recall
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- f1
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- accuracy
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thumbnail: Sberbank RuBERT-base fintuned on Collection3 dataset
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base_model: sberbank-ai/ruBert-base
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model-index:
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- name: sberbank-rubert-base-collection3
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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: RCC-MSU/collection3
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type: named-entity-recognition
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split: validation
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args: default
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metrics:
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- type: precision
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value: 0.938019472809309
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name: Precision
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- type: recall
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value: 0.9594364828758805
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name: Recall
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- type: f1
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value: 0.9486071085494716
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name: F1
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- type: accuracy
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value: 0.9860420020488805
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name: Accuracy
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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: RCC-MSU/collection3
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type: named-entity-recognition
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split: test
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args: default
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metrics:
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- type: precision
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value: 0.9419896321895829
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name: Precision
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- type: recall
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value: 0.9537615596100975
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name: Recall
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- type: f1
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value: 0.947839046199702
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name: F1
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- type: accuracy
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value: 0.9847255179564897
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name: Accuracy
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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