---
language:
- ru
- kbd
license: mit
tags:
- generated_from_trainer
datasets:
- anzorq/kbd_lat-ru
task_categories:
- translation
- text2text-generation
task_ids:
- translation
- text2text-generation
metrics:
- bleu
model-index:
- name: tst-translation
  results:
  - task:
      name: translation
      type: translation
    dataset:
      name: anzorq/kbd_lat-ru anzorq--kbd-ru
      type: anzorq/kbd_lat-ru
      args: anzorq--kbd-ru
    metrics:
    - name: Bleu
      type: bleu
      value: 12.649
widget:
- text: "ru->kbd: Я иду домой."
  example_title: "Я иду домой."
- text: "ru->kbd: Дети играют во дворе."
  example_title: "Дети играют во дворе."
- text: "ru->kbd: Сколько тебе лет?"
  example_title: "Сколько тебе лет?"
---

<!-- 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. -->

# tst-translation

This model is a fine-tuned version of [anzorq/kbd_lat-835k_ru-3M_t5-small](https://huggingface.co/anzorq/kbd_lat-835k_ru-3M_t5-small) on the anzorq/kbd_lat-ru anzorq--kbd-ru dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6000
- Bleu: 12.649
- Gen Len: 11.8018

## 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: 5e-05
- 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
- num_epochs: 35.0

### Training results



### Framework versions

- Transformers 4.21.0.dev0
- Pytorch 1.10.0+cu113
- Datasets 1.16.0
- Tokenizers 0.12.1