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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# text-normalization-ru-new

This model is a fine-tuned version of [alexue4/text-normalization-ru-new](https://huggingface.co/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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------------:|:------------:|
| 0.0016        | 1.0   | 3637  | 0.0000          | 0             | 0            |
| 0.0015        | 2.0   | 7274  | 0.0000          | 0             | 0            |
| 0.0011        | 3.0   | 10911 | 0.0000          | 0             | 0            |
| 0.001         | 4.0   | 14548 | 0.0000          | 0             | 0            |
| 0.0007        | 5.0   | 18185 | 0.0000          | 0             | 0            |
| 0.0008        | 6.0   | 21822 | 0.0000          | 0             | 0            |
| 0.0006        | 7.0   | 25459 | 0.0000          | 0             | 0            |
| 0.0007        | 8.0   | 29096 | 0.0000          | 0             | 0            |
| 0.0006        | 9.0   | 32733 | 0.0000          | 0             | 0            |
| 0.0004        | 10.0  | 36370 | 0.0000          | 0             | 0            |
| 0.0005        | 11.0  | 40007 | 0.0000          | 0             | 0            |
| 0.0004        | 12.0  | 43644 | 0.0000          | 0             | 0            |
| 0.0004        | 13.0  | 47281 | 0.0000          | 0             | 0            |
| 0.0005        | 14.0  | 50918 | 0.0000          | 0             | 0            |
| 0.0004        | 15.0  | 54555 | 0.0000          | 0             | 0            |
| 0.0004        | 16.0  | 58192 | 0.0000          | 0             | 0            |
| 0.0004        | 17.0  | 61829 | 0.0000          | 0             | 0            |
| 0.0004        | 18.0  | 65466 | 0.0000          | 0             | 0            |
| 0.0004        | 19.0  | 69103 | 0.0000          | 0             | 0            |
| 0.0004        | 20.0  | 72740 | 0.0000          | 0             | 0            |


### Framework versions

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