translation_en_ru
Эта модель дообучена на Helsinki-NLP/opus-mt-en-ru с помощью датасета tico19, который содержит терминологию связанную с COVID-19. Модель может использоваться для перевода медицинских текстов
Результаты на тестовых данных:
- Loss: 1.1217
- Bleu: 30.84
Запуск модели
from transformers import pipeline
model_checkpoint = "glazzova/ml_translation_model1"
translator = pipeline("translation", model=model_checkpoint)
translator("i have a little cold and a cough")
# у меня есть простуда и кашель
Гиперпараметры
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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