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