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fias_NER – AI Model by Ventalik | AlphaNeural AI

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Ventalik/
fias_NER

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token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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fias_NER

This model is a fine-tuned version of cointegrated/rubert-tiny2 on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.0011
eval_precision: 0.9993
eval_recall: 0.9994
eval_f1: 0.9994
eval_accuracy: 0.9996
eval_runtime: 783.8012
eval_samples_per_second: 2551.667
eval_steps_per_second: 19.935
epoch: 1.12
step: 1200000

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: 2e-05
train_batch_size: 128
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 2000000

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu117
Datasets 2.13.0
Tokenizers 0.13.3