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

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

• Loss: 2.1251
• Bleu: 15.9892
• Gen Len: 5.0168

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: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
2.6914	1.0	4956	2.5116	11.1411	4.9989
2.2161	2.0	9912	2.3255	11.7334	5.1678
1.9237	3.0	14868	2.2388	13.6802	5.1463
1.7087	4.0	19824	2.1892	13.8815	5.0625
1.5423	5.0	24780	2.1586	14.8182	5.0779
1.3909	6.0	29736	2.1445	14.3603	5.2194
1.3041	7.0	34692	2.1323	16.2138	5.0438
1.2078	8.0	39648	2.1275	16.2574	5.0165
1.1523	9.0	44604	2.1255	16.0368	5.014
1.1005	10.0	49560	2.1251	15.9892	5.0168

Framework versions

• Transformers 4.15.0
• Pytorch 1.10.0+cu111
• Datasets 1.17.0
• Tokenizers 0.10.3