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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 the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0169
  • Mean Distance: 0
  • Max Distance: 1

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: 15
  • eval_batch_size: 15
  • 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 Max Distance Mean Distance
0.001 1.0 13726 0.0114 5 0
0.0009 2.0 27452 0.0143 3 0
0.0008 3.0 41178 0.0145 3 0
0.0009 4.0 54904 0.0098 1 0
0.0007 5.0 68630 0.0130 2 0
0.0008 6.0 82356 0.0153 2 0
0.0007 7.0 96082 0.0128 2 0
0.0006 8.0 109808 0.0130 3 0
0.0006 9.0 123534 0.0158 5 0
0.0006 10.0 137260 0.0151 1 0
0.0005 11.0 150986 0.0167 1 0
0.0005 12.0 164712 0.0145 1 0
0.0005 13.0 178438 0.0160 1 0
0.0005 14.0 192164 0.0157 1 0
0.0004 15.0 205890 0.0157 1 0
0.0004 16.0 219616 0.0173 1 0
0.0004 17.0 233342 0.0159 1 0
0.0004 18.0 247068 0.0168 2 0
0.0004 19.0 260794 0.0168 0 1
0.0004 20.0 274520 0.0169 0 1

Framework versions

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