opus-mt-en-ru-finetuned-en-to-ru

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ru on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.7896
• Bleu: 33.7593
• Gen Len: 28.0018

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
0.8746	1.0	2500	0.7896	33.7593	28.0018

Framework versions

• Transformers 4.29.2
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.13.3