opus-mt-en-ru-finetuned-en-to-ru – AI Model by ilevs | AlphaNeural AI

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

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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: 1.7682
Bleu: 14.6112
Gen Len: 7.202

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
2.3198	1.0	4956	2.1261	9.5339	6.7709
1.9732	2.0	9912	1.9639	10.4715	7.1254
1.7127	3.0	14868	1.8780	11.6128	7.1106
1.5614	4.0	19824	1.8367	12.8389	7.0468
1.4276	5.0	24780	1.8040	13.7423	7.0403
1.3096	6.0	29736	1.7820	14.1469	7.0555
1.2381	7.0	34692	1.7761	13.9987	7.2225
1.1784	8.0	39648	1.7725	14.4675	7.1799
1.1376	9.0	44604	1.7692	14.4937	7.1957
1.0862	10.0	49560	1.7682	14.6112	7.202

Framework versions

Transformers 4.15.0
Pytorch 1.10.0+cu111
Datasets 1.17.0
Tokenizers 0.10.3