---
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 the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0008
- 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: 150
- eval_batch_size: 150
- 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: 15

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Mean Distance | Max Distance |
|:-------------:|:-----:|:-----:|:---------------:|:-------------:|:------------:|
| 0.0004        | 1.0   | 3059  | 0.0022          | 0             | 12           |
| 0.0003        | 2.0   | 6118  | 0.0011          | 0             | 5            |
| 0.0003        | 3.0   | 9177  | 0.0010          | 0             | 6            |
| 0.0003        | 4.0   | 12236 | 0.0012          | 0             | 3            |
| 0.0003        | 5.0   | 15295 | 0.0008          | 0             | 3            |
| 0.0002        | 6.0   | 18354 | 0.0009          | 0             | 3            |
| 0.0002        | 7.0   | 21413 | 0.0008          | 0             | 3            |
| 0.0002        | 8.0   | 24472 | 0.0008          | 0             | 3            |
| 0.0002        | 9.0   | 27531 | 0.0007          | 0             | 3            |
| 0.0002        | 10.0  | 30590 | 0.0008          | 0             | 3            |
| 0.0002        | 11.0  | 33649 | 0.0008          | 0             | 3            |
| 0.0002        | 12.0  | 36708 | 0.0008          | 0             | 3            |
| 0.0002        | 13.0  | 39767 | 0.0008          | 0             | 3            |
| 0.0002        | 14.0  | 42826 | 0.0008          | 0             | 3            |
| 0.0002        | 15.0  | 45885 | 0.0008          | 0             | 3            |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1