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---
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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
- Mean Distance: 0
- Max Distance: 0
## 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: 30
- eval_batch_size: 30
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------------:|:------------:|
| 0.0016 | 1.0 | 3637 | 0.0000 | 0 | 0 |
| 0.0015 | 2.0 | 7274 | 0.0000 | 0 | 0 |
| 0.0011 | 3.0 | 10911 | 0.0000 | 0 | 0 |
| 0.001 | 4.0 | 14548 | 0.0000 | 0 | 0 |
| 0.0007 | 5.0 | 18185 | 0.0000 | 0 | 0 |
| 0.0008 | 6.0 | 21822 | 0.0000 | 0 | 0 |
| 0.0006 | 7.0 | 25459 | 0.0000 | 0 | 0 |
| 0.0007 | 8.0 | 29096 | 0.0000 | 0 | 0 |
| 0.0006 | 9.0 | 32733 | 0.0000 | 0 | 0 |
| 0.0004 | 10.0 | 36370 | 0.0000 | 0 | 0 |
| 0.0005 | 11.0 | 40007 | 0.0000 | 0 | 0 |
| 0.0004 | 12.0 | 43644 | 0.0000 | 0 | 0 |
| 0.0004 | 13.0 | 47281 | 0.0000 | 0 | 0 |
| 0.0005 | 14.0 | 50918 | 0.0000 | 0 | 0 |
| 0.0004 | 15.0 | 54555 | 0.0000 | 0 | 0 |
| 0.0004 | 16.0 | 58192 | 0.0000 | 0 | 0 |
| 0.0004 | 17.0 | 61829 | 0.0000 | 0 | 0 |
| 0.0004 | 18.0 | 65466 | 0.0000 | 0 | 0 |
| 0.0004 | 19.0 | 69103 | 0.0000 | 0 | 0 |
| 0.0004 | 20.0 | 72740 | 0.0000 | 0 | 0 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
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