opus-mt-en-ru-finetuned

kazandaev/opus-mt-en-ru-finetuned

opus-mt-en-ru-finetuned is a machine learning model from kazandaev. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: transformers
License: apache-2.0
Model type: marian
Access: Public
Created: Mar 2, 2022
Updated: May 5, 2025
SHA: cd7a33a7

Model card

From the Hugging Face model README

opus-mt-en-ru-finetuned

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

Loss: 0.7763
Bleu: 41.0065
Gen Len: 29.7548

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: 1e-06
train_batch_size: 49
eval_batch_size: 24
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
0.6903	1.0	35147	0.7779	40.9223	29.7846
0.6999	2.0	70294	0.7776	40.8267	29.8421
0.7257	3.0	105441	0.7769	40.8549	29.8765
0.7238	4.0	140588	0.7763	41.0225	29.7129
0.7313	5.0	175735	0.7763	41.0065	29.7548

Framework versions

Transformers 4.16.2
Pytorch 1.10.0+cu111
Datasets 1.18.3
Tokenizers 0.11.0

Library: transformers
Type: marian
License: apache-2.0
Created: Mar 2, 2022
Updated: May 5, 2025