translate-en-ru

SorrySalmon/translate-en-ru

translate-en-ru is a machine learning model from SorrySalmon. 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: Dec 4, 2024
Updated: Dec 5, 2024
SHA: 738be1f1

Base models

Helsinki-NLP/opus-mt-en-ru

Datasets

kde4

Model card

From the Hugging Face model README

translate-en-ru

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ru on the kde4 dataset. It achieves the following results on the evaluation set:

Loss: 1.4205
Blew: 28.4321

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: 64
eval_batch_size: 32
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Blew
1.7105	1.0	2543	1.5337	26.7452
1.5046	2.0	5086	1.4440	27.9963
1.4424	3.0	7629	1.4205	28.4321

Framework versions

Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3

Library: transformers
Type: marian
License: apache-2.0
Created: Dec 4, 2024
Updated: Dec 5, 2024