metadata

license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-ru
tags:
  - translation
  - generated_from_trainer
model-index:
  - name: Gopal-finetuned-custom-en-to-ru
    results: []
language:
  - en
  - ru
pipeline_tag: translation

Gopal-finetuned-custom-en-to-ru

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ru on an unknown dataset.

Model description

This is the model fine tuned by me on my custom dataset, the dataset contains communication domain parallel corpuses.

Intended uses & limitations

This model is used for customised purposes and people are advised to fine tune it on the basis of there requirement

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 200
mixed_precision_training: Native AMP

Training results

The bleu score: 31.08

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2