---
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: 0.0061
- 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: 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 | Mean Distance | Max Distance |
|:-------------:|:-----:|:-----:|:---------------:|:-------------:|:------------:|
| 0.0013        | 1.0   | 846   | 0.0053          | 0             | 3            |
| 0.0011        | 2.0   | 1692  | 0.0043          | 0             | 3            |
| 0.0009        | 3.0   | 2538  | 0.0049          | 0             | 3            |
| 0.0008        | 4.0   | 3384  | 0.0043          | 0             | 3            |
| 0.0005        | 5.0   | 4230  | 0.0048          | 0             | 3            |
| 0.0006        | 6.0   | 5076  | 0.0024          | 0             | 3            |
| 0.0005        | 7.0   | 5922  | 0.0029          | 0             | 3            |
| 0.0008        | 8.0   | 6768  | 0.0061          | 0             | 3            |
| 0.0006        | 9.0   | 7614  | 0.0050          | 0             | 3            |
| 0.0006        | 10.0  | 8460  | 0.0092          | 0             | 3            |
| 0.0004        | 11.0  | 9306  | 0.0066          | 0             | 3            |
| 0.0004        | 12.0  | 10152 | 0.0065          | 0             | 3            |
| 0.0003        | 13.0  | 10998 | 0.0066          | 0             | 3            |
| 0.0005        | 14.0  | 11844 | 0.0062          | 0             | 3            |
| 0.0003        | 15.0  | 12690 | 0.0061          | 0             | 3            |
| 0.0004        | 16.0  | 13536 | 0.0059          | 0             | 3            |
| 0.0003        | 17.0  | 14382 | 0.0060          | 0             | 3            |
| 0.0004        | 18.0  | 15228 | 0.0061          | 0             | 3            |
| 0.0003        | 19.0  | 16074 | 0.0061          | 0             | 3            |
| 0.0005        | 20.0  | 16920 | 0.0061          | 0             | 3            |


### Framework versions

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