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ru-finetuned-ner – AI Model by evgsumina | AlphaNeural AI

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evgsumina/
ru-finetuned-ner

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token-classification

generated_from_trainer

DeepPavlov/rubert-base-cased

autotrain_compatible

endpoints_compatible

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ru-finetuned-ner

This model is a fine-tuned version of DeepPavlov/rubert-base-cased on an unknown dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0001
train_batch_size: 16
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 2

Training results

Framework versions

Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1