---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-rw
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: marian-finetuned-kde4-en-to-kin-Umuganda-Dataset
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# marian-finetuned-Umuganda-Dataset-en-to-kin-Umuganda-Dataset

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-rw](https://huggingface.co/Helsinki-NLP/opus-mt-en-rw) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8769
- Bleu: 32.8345

## Model Description

The model has been fine-tuned to perform machine translation from English to Kinyarwanda.

## Intended Uses & Limitations

The primary intended use of this model is for research purposes.

## Training and Evaluation Data

The model has been fine-tuned using the [Digital Umuganda](https://huggingface.co/datasets/DigitalUmuganda/kinyarwanda-english-machine-translation-dataset/tree/main) dataset. 

The dataset was split with 90% used for training and 10% for testing. 

The data used to train the model were cased and digits removed.

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results



### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3