---
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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------------:|:------------:|
| 0.0006        | 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