metadata

license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-ru
tags:
  - translation
  - generated_from_trainer
datasets:
  - opus100
model-index:
  - name: marian-finetuned-opus100-en-to-ru
    results: []

marian-finetuned-opus100-en-to-ru

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ru on the opus100 dataset. It achieves the following results on the evaluation set:

eval_loss: 1.6450
eval_bleu: 33.5411
eval_runtime: 173.5096
eval_samples_per_second: 57.634
eval_steps_per_second: 0.905
step: 0

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: 32
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP

Framework versions

Transformers 4.36.2
Pytorch 2.1.1+cu121
Datasets 2.16.0
Tokenizers 0.15.0