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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# opus-mt-en-hi-finetuned-en-to-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 the free [hindi-english](https://huggingface.co/datasets/Aarif1430/english-to-hindi) dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3735
- Bleu: 10.276
- Gen Len: 34.8766

## Model description

transformer-align

## 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: 16
- eval_batch_size: 16
- 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

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| 3.5457        | 1.0   | 6779 | 3.3735          | 10.276 | 34.8766 |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1