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metadata
license: mit
base_model: alexue4/text-normalization-ru-new
tags:
  - generated_from_trainer
model-index:
  - name: text-normalization-ru-new
    results: []

text-normalization-ru-new

This model is a fine-tuned version of alexue4/text-normalization-ru-new on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0005
  • Mean Distance: 0
  • Max Distance: 3

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: 30
  • eval_batch_size: 30
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 20

Training results

Training Loss Epoch Step Validation Loss Mean Distance Max Distance
0.001 1.0 3459 0.0005 0 3
0.0007 2.0 6918 0.0005 0 3
0.0008 3.0 10377 0.0005 0 3
0.0007 4.0 13836 0.0006 0 3
0.0006 5.0 17295 0.0003 0 0
0.0006 6.0 20754 0.0003 0 0
0.0005 7.0 24213 0.0002 0 0
0.0006 8.0 27672 0.0005 0 3
0.0006 9.0 31131 0.0005 0 3
0.0005 10.0 34590 0.0006 0 3
0.0004 11.0 38049 0.0005 0 3
0.0005 12.0 41508 0.0004 0 0
0.0004 13.0 44967 0.0004 0 0
0.0004 14.0 48426 0.0005 0 0
0.0004 15.0 51885 0.0004 0 0
0.0004 16.0 55344 0.0005 0 3
0.0004 17.0 58803 0.0005 0 3
0.0004 18.0 62262 0.0005 0 3
0.0004 19.0 65721 0.0005 0 3
0.0004 20.0 69180 0.0005 0 3

Framework versions

  • Transformers 4.32.1
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.4
  • Tokenizers 0.13.3