metadata
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
This is a Machine Translation model, finetuned from NLLB-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
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 purpose dataset, a tourism, and an education 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
Testing Data
Metrics
Model performance was measured using BLEU, spBLEU, TER, and chrF++ metrics.
Results
| Lang. Direction | BLEU | spBLEU | chrf++ | TER |
|---|---|---|---|---|
| Eng -> Kin | 45.96 | 59.20 | 68.79 | 41.61 |
| Kin -> Eng | 43.98 | 44.94 | 63.05 | 41.41 |