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