---
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
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Gopal-finetuned-custom-en-to-ru

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ru](https://huggingface.co/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