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Gherman
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bert-base-NER-Russian

Token Classification
Transformers
Safetensors
Russian
bert
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@@ -84,7 +84,7 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with weight decay fix
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  - lr_scheduler_type: linear
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- - num_epochs: 3
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  ### Framework versions
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@@ -97,9 +97,9 @@ The following hyperparameters were used during training:
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  The model achieves the following results on the evaluation set:
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- - Precision: 0.9713404
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- - Recall: 0.9745631
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- - F1 Score: 0.9729491
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  ## Ethical considerations
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  - seed: 42
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  - optimizer: Adam with weight decay fix
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  - lr_scheduler_type: linear
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+ - num_epochs: 10
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  ### Framework versions
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  The model achieves the following results on the evaluation set:
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+ - Precision: 0.987843
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+ - Recall: 0.988498
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+ - F1 Score: 0.988170
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  ## Ethical considerations
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