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  1. README.md +32 -4
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  license: apache-2.0
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  tags:
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  - generated_from_trainer
 
 
 
 
 
 
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  datasets:
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- - collection3
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  metrics:
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  - precision
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  - recall
@@ -16,8 +22,8 @@ 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: collection3
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- type: collection3
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  config: default
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  split: validation
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  args: default
@@ -34,6 +40,28 @@ model-index:
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  - name: Accuracy
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  type: accuracy
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  value: 0.9860420020488805
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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
@@ -91,4 +119,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.26.1
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  - Pytorch 1.7.0
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  - Datasets 2.10.1
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- - Tokenizers 0.13.2
 
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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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  - precision
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  - recall
 
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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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  config: default
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  split: validation
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  args: default
 
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  - name: Accuracy
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  type: accuracy
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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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+ config: default
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+ split: test
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+ args: default
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+ metrics:
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+ - name: Precision
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+ type: precision
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+ value: 0.9419896321895829
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+ - name: Recall
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+ type: recall
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+ value: 0.9537615596100975
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+ - name: F1
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+ type: f1
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+ value: 0.947839046199702
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+ - name: Accuracy
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+ type: accuracy
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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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  - Transformers 4.26.1
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  - Pytorch 1.7.0
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  - Datasets 2.10.1
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+ - Tokenizers 0.13.2