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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: 0.0000
  • Mean Distance: 0
  • Max Distance: 0

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
0.0006 1.0 3574 0.0000 0 0
0.0005 2.0 7148 0.0000 0 0
0.0007 3.0 10722 0.0000 0 0
0.0008 4.0 14296 0.0000 0 0
0.0006 5.0 17870 0.0000 0 0
0.0006 6.0 21444 0.0000 0 0
0.0005 7.0 25018 0.0000 0 0
0.0005 8.0 28592 0.0000 0 0
0.0005 9.0 32166 0.0000 0 0
0.0004 10.0 35740 0.0000 0 0
0.0005 11.0 39314 0.0000 0 0
0.0004 12.0 42888 0.0000 0 0
0.0004 13.0 46462 0.0000 0 0
0.0004 14.0 50036 0.0000 0 0
0.0004 15.0 53610 0.0000 0 0
0.0004 16.0 57184 0.0000 0 0
0.0003 17.0 60758 0.0000 0 0
0.0003 18.0 64332 0.0000 0 0
0.0003 19.0 67906 0.0000 0 0
0.0004 20.0 71480 0.0000 0 0

Framework versions

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