---
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: 0.0480
- Mean Distance: 0
- Max Distance: 40

## 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: 10

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Mean Distance | Max Distance |
|:-------------:|:-----:|:------:|:---------------:|:-------------:|:------------:|
| 0.0163        | 1.0   | 23701  | 0.0428          | 0             | 43           |
| 0.0132        | 2.0   | 47402  | 0.0420          | 0             | 44           |
| 0.0111        | 3.0   | 71103  | 0.0444          | 0             | 35           |
| 0.0095        | 4.0   | 94804  | 0.0449          | 0             | 43           |
| 0.0088        | 5.0   | 118505 | 0.0446          | 0             | 40           |
| 0.0076        | 6.0   | 142206 | 0.0462          | 0             | 33           |
| 0.0074        | 7.0   | 165907 | 0.0466          | 0             | 38           |
| 0.0068        | 8.0   | 189608 | 0.0478          | 0             | 39           |
| 0.0069        | 9.0   | 213309 | 0.0489          | 0             | 39           |
| 0.0061        | 10.0  | 237010 | 0.0480          | 0             | 40           |


### Framework versions

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