---
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: 0.0393
- 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: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Mean Distance | Max Distance |
|:-------------:|:-----:|:-----:|:---------------:|:-------------:|:------------:|
| 0.2324        | 1.0   | 2664  | 0.1072          | 0             | 1            |
| 0.0151        | 2.0   | 5328  | 0.0436          | 0             | 1            |
| 0.0094        | 3.0   | 7992  | 0.0241          | 0             | 1            |
| 0.0056        | 4.0   | 10656 | 0.0309          | 0             | 1            |
| 0.0068        | 5.0   | 13320 | 0.0356          | 0             | 1            |
| 0.0041        | 6.0   | 15984 | 0.0186          | 0             | 1            |
| 0.0034        | 7.0   | 18648 | 0.0426          | 0             | 1            |
| 0.0043        | 8.0   | 21312 | 0.0172          | 0             | 1            |
| 0.004         | 9.0   | 23976 | 0.0272          | 0             | 1            |
| 0.0005        | 10.0  | 26640 | 0.0333          | 0             | 1            |
| 0.0025        | 11.0  | 29304 | 0.0358          | 0             | 1            |
| 0.0021        | 12.0  | 31968 | 0.0474          | 0             | 1            |
| 0.0007        | 13.0  | 34632 | 0.0402          | 0             | 1            |
| 0.0017        | 14.0  | 37296 | 0.0392          | 0             | 1            |
| 0.0007        | 15.0  | 39960 | 0.0394          | 0             | 1            |
| 0.0013        | 16.0  | 42624 | 0.0442          | 0             | 1            |
| 0.0002        | 17.0  | 45288 | 0.0443          | 0             | 1            |
| 0.0013        | 18.0  | 47952 | 0.0389          | 0             | 1            |
| 0.0001        | 19.0  | 50616 | 0.0412          | 0             | 1            |
| 0.0001        | 20.0  | 53280 | 0.0393          | 0             | 1            |


### Framework versions

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