---
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: 0.0169
- 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