---
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: 0.0102
- 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: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------------:|:------------:|
| 0.2779        | 1.0   | 1050  | 0.3371          | 0             | 1            |
| 0.0346        | 2.0   | 2100  | 0.0173          | 0             | 1            |
| 0.0072        | 3.0   | 3150  | 0.0077          | 0             | 1            |
| 0.0057        | 4.0   | 4200  | 0.0093          | 0             | 1            |
| 0.005         | 5.0   | 5250  | 0.0053          | 0             | 1            |
| 0.002         | 6.0   | 6300  | 0.0056          | 0             | 1            |
| 0.002         | 7.0   | 7350  | 0.0091          | 0             | 1            |
| 0.0018        | 8.0   | 8400  | 0.0010          | 0             | 0            |
| 0.0044        | 9.0   | 9450  | 0.0043          | 0             | 1            |
| 0.0024        | 10.0  | 10500 | 0.0048          | 0             | 1            |
| 0.0032        | 11.0  | 11550 | 0.0023          | 0             | 1            |
| 0.0028        | 12.0  | 12600 | 0.0003          | 0             | 0            |
| 0.0005        | 13.0  | 13650 | 0.0008          | 0             | 0            |
| 0.0026        | 14.0  | 14700 | 0.0012          | 0             | 1            |
| 0.0011        | 15.0  | 15750 | 0.0171          | 0             | 1            |
| 0.0           | 16.0  | 16800 | 0.0120          | 0             | 1            |
| 0.0001        | 17.0  | 17850 | 0.0031          | 0             | 1            |
| 0.0007        | 18.0  | 18900 | 0.0165          | 0             | 1            |
| 0.001         | 19.0  | 19950 | 0.0194          | 0             | 1            |
| 0.0001        | 20.0  | 21000 | 0.0102          | 0             | 1            |


### Framework versions

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