translate-en-ru

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ru on the kde4 dataset. It achieves the following results on the evaluation set:

  • Loss: 1.4205
  • Blew: 28.4321

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: 2e-05
  • train_batch_size: 64
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Blew
1.7105 1.0 2543 1.5337 26.7452
1.5046 2.0 5086 1.4440 27.9963
1.4424 3.0 7629 1.4205 28.4321

Framework versions

  • Transformers 4.46.2
  • Pytorch 2.5.1+cu121
  • Datasets 3.1.0
  • Tokenizers 0.20.3
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