transformer-en-ru

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

• Loss: 0.6527
• Bleu: 67.1147
• Gen Len: 127.0651

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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
0.7937	1.0	568	0.6373	68.0996	127.3319
0.6728	2.0	1136	0.6028	69.6232	127.2664
0.6136	3.0	1704	0.5853	70.2068	126.963
0.5733	4.0	2272	0.5806	70.2274	127.2151

Framework versions

• Transformers 4.35.0
• Pytorch 2.0.0.dev20230205+cu117
• Datasets 2.13.1
• Tokenizers 0.14.1