opus-mt-ru-en-finetuned

kazandaev/opus-mt-ru-en-finetuned

opus-mt-ru-en-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.

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

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At a glance

Library: transformers
Model type: marian
Access: Public
Created: Mar 2, 2022
Updated: May 14, 2025
SHA: 3f8e4456

Model card

From the Hugging Face model README

opus-mt-ru-en-finetuned

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

Loss: 1.0399
Bleu: 43.5078
Gen Len: 26.1256

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
0.7462	1.0	35147	1.0422	43.3884	26.1742
0.7501	2.0	70294	1.0407	43.5296	26.1671
0.7471	3.0	105441	1.0402	43.5133	26.1118
0.7514	4.0	140588	1.0401	43.492	26.1529
0.7565	5.0	175735	1.0399	43.5078	26.1256

Framework versions

Transformers 4.16.2
Pytorch 1.10.0+cu111
Datasets 1.18.3
Tokenizers 0.11.0

Library: transformers
Type: marian
Created: Mar 2, 2022
Updated: May 14, 2025