---
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
model-index:
- name: text-translit-detector-ru
  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-translit-detector-ru

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0632
- Mean Distance: 0
- Max Distance: 1

## 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: 40

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Mean Distance | Max Distance |
|:-------------:|:-----:|:------:|:---------------:|:-------------:|:------------:|
| 0.8541        | 1.0   | 2664   | 0.3404          | 0             | 1            |
| 0.0451        | 2.0   | 5328   | 0.0605          | 0             | 1            |
| 0.0112        | 3.0   | 7992   | 0.0411          | 0             | 1            |
| 0.0068        | 4.0   | 10656  | 0.0205          | 0             | 1            |
| 0.007         | 5.0   | 13320  | 0.0242          | 0             | 1            |
| 0.0022        | 6.0   | 15984  | 0.0272          | 0             | 1            |
| 0.0054        | 7.0   | 18648  | 0.0080          | 0             | 1            |
| 0.0036        | 8.0   | 21312  | 0.0252          | 0             | 1            |
| 0.0039        | 9.0   | 23976  | 0.0210          | 0             | 1            |
| 0.0026        | 10.0  | 26640  | 0.0170          | 0             | 1            |
| 0.0026        | 11.0  | 29304  | 0.0043          | 0             | 1            |
| 0.0029        | 12.0  | 31968  | 0.0135          | 0             | 1            |
| 0.0011        | 13.0  | 34632  | 0.0313          | 0             | 1            |
| 0.0017        | 14.0  | 37296  | 0.0353          | 0             | 1            |
| 0.0014        | 15.0  | 39960  | 0.0117          | 0             | 1            |
| 0.0014        | 16.0  | 42624  | 0.0140          | 0             | 1            |
| 0.0013        | 17.0  | 45288  | 0.0220          | 0             | 1            |
| 0.0009        | 18.0  | 47952  | 0.0247          | 0             | 1            |
| 0.0017        | 19.0  | 50616  | 0.0322          | 0             | 1            |
| 0.0022        | 20.0  | 53280  | 0.0314          | 0             | 1            |
| 0.0006        | 21.0  | 55944  | 0.0305          | 0             | 1            |
| 0.001         | 22.0  | 58608  | 0.0292          | 0             | 1            |
| 0.0008        | 23.0  | 61272  | 0.0373          | 0             | 1            |
| 0.0008        | 24.0  | 63936  | 0.0309          | 0             | 1            |
| 0.0008        | 25.0  | 66600  | 0.0385          | 0             | 1            |
| 0.0014        | 26.0  | 69264  | 0.0134          | 0             | 1            |
| 0.0004        | 27.0  | 71928  | 0.0239          | 0             | 1            |
| 0.0011        | 28.0  | 74592  | 0.0164          | 0             | 1            |
| 0.0002        | 29.0  | 77256  | 0.0186          | 0             | 1            |
| 0.0001        | 30.0  | 79920  | 0.0298          | 0             | 1            |
| 0.0008        | 31.0  | 82584  | 0.0277          | 0             | 1            |
| 0.0003        | 32.0  | 85248  | 0.0377          | 0             | 1            |
| 0.0003        | 33.0  | 87912  | 0.0354          | 0             | 1            |
| 0.0007        | 34.0  | 90576  | 0.0585          | 0             | 1            |
| 0.0005        | 35.0  | 93240  | 0.0568          | 0             | 1            |
| 0.0001        | 36.0  | 95904  | 0.0567          | 0             | 1            |
| 0.0009        | 37.0  | 98568  | 0.0605          | 0             | 1            |
| 0.0002        | 38.0  | 101232 | 0.0613          | 0             | 1            |
| 0.0002        | 39.0  | 103896 | 0.0563          | 0             | 1            |
| 0.0002        | 40.0  | 106560 | 0.0632          | 0             | 1            |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1