readme: ---
  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
  