---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-hi
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus-mt-en-hi
  results: []
---

# opus-mt-en-hi

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-hi](https://huggingface.co/Helsinki-NLP/opus-mt-en-hi) on [iitb-english-hindi](https://huggingface.co/datasets/cfilt/iitb-english-hindi) dataset.
It achieves the following results on the evaluation set:
- Loss: 3.5595
- Bleu: 11.9246

## Model description

More information needed

## Training and evaluation data

This model is trained on [Helsinki-NLP/opus-mt-en-hi](https://huggingface.co/Helsinki-NLP/opus-mt-en-hi) on [iitb-english-hindi](https://huggingface.co/datasets/cfilt/iitb-english-hindi).
Here's a tokenized and pre-processed version of this dataset -> [iitb-english-hindi-tokenized](https://huggingface.co/datasets/fubuki119/iitb-english-hindi-tokenized)


### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-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: 1
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0