---
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: 0.0279
- 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: 5

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Mean Distance | Max Distance |
|:-------------:|:-----:|:------:|:---------------:|:-------------:|:------------:|
| 0.0024        | 1.0   | 22994  | 0.0264          | 0             | 8            |
| 0.0022        | 2.0   | 45988  | 0.0259          | 0             | 8            |
| 0.0019        | 3.0   | 68982  | 0.0292          | 0             | 8            |
| 0.0016        | 4.0   | 91976  | 0.0281          | 0             | 8            |
| 0.0016        | 5.0   | 114970 | 0.0279          | 0             | 8            |


### Framework versions

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