---
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: 0.0005
- 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