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---
language:
- ru
- kbd
license: mit
tags:
- generated_from_trainer
datasets:
- anzorq/kbd_lat-ru
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
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