---
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: 0.0366
- Mean Distance: 0
- Max Distance: 8

## 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: 15

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Mean Distance | Max Distance |
|:-------------:|:-----:|:------:|:---------------:|:-------------:|:------------:|
| 0.0052        | 1.0   | 22916  | 0.0271          | 0             | 9            |
| 0.0051        | 2.0   | 45832  | 0.0261          | 0             | 8            |
| 0.0043        | 3.0   | 68748  | 0.0313          | 0             | 8            |
| 0.0041        | 4.0   | 91664  | 0.0278          | 0             | 10           |
| 0.0037        | 5.0   | 114580 | 0.0280          | 0             | 8            |
| 0.0032        | 6.0   | 137496 | 0.0288          | 0             | 8            |
| 0.003         | 7.0   | 160412 | 0.0308          | 0             | 8            |
| 0.0025        | 8.0   | 183328 | 0.0305          | 0             | 8            |
| 0.0025        | 9.0   | 206244 | 0.0303          | 0             | 8            |
| 0.0023        | 10.0  | 229160 | 0.0341          | 0             | 8            |
| 0.0022        | 11.0  | 252076 | 0.0329          | 0             | 8            |
| 0.0019        | 12.0  | 274992 | 0.0336          | 0             | 8            |
| 0.002         | 13.0  | 297908 | 0.0358          | 0             | 8            |
| 0.0018        | 14.0  | 320824 | 0.0355          | 0             | 8            |
| 0.0019        | 15.0  | 343740 | 0.0366          | 0             | 8            |


### Framework versions

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