---
license: cc-by-2.0
datasets:
- mbazaNLP/NMT_Tourism_parallel_data_en_kin
- mbazaNLP/NMT_Education_parallel_data_en_kin
- mbazaNLP/Kinyarwanda_English_parallel_dataset
language:
- en
- rw
library_name: transformers

pipeline_tag: translation
---
## Model Details

### Model Description

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This is a Machine Translation model, finetuned from [NLLB](https://huggingface.co/facebook/nllb-200-distilled-1.3B)-200's distilled 1.3B model, it is meant to be used in machine translation for education-related data.

- **Finetuning code repository:** the code used to finetune this model can be found [here](https://github.com/Digital-Umuganda/twb_nllb_finetuning)

## Quantization details

The model is quantized to 8-bit precision using the Ctranslate2 library.
```
pip install ctranslate2
```
Using the command: 
```
ct2-transformers-converter --model <model-dir> --quantization int8 --output_dir <output-model-dir>
```

<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->


## How to Get Started with the Model

Use the code below to get started with the model.


### Training Procedure 

The model was finetuned on three datasets; a [general](https://huggingface.co/datasets/mbazaNLP/Kinyarwanda_English_parallel_dataset) purpose dataset, a [tourism](https://huggingface.co/datasets/mbazaNLP/NMT_Tourism_parallel_data_en_kin), and an [education](https://huggingface.co/datasets/mbazaNLP/NMT_Education_parallel_data_en_kin) dataset.

The model was finetuned in two phases.

#### Phase one:
- General purpose dataset
- Education dataset
- Tourism dataset

#### Phase two:
- Education dataset

Other than the dataset changes between phase one, and phase two finetuning; no other hyperparameters were modified. In both cases, the model was trained on an A100 40GB GPU for two epochs.


## Evaluation

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<!-- This should link to a Data Card if possible. -->


#### Metrics

Model performance was measured using BLEU, spBLEU, TER, and chrF++ metrics.

### Results