Nllb_finetuned_education_en_kin

Model Details

Model Description

<!-- Provide a longer summary of what this model is. -->

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

<!-- 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 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

<!-- This section describes the evaluation protocols and provides the results. -->

Testing Data

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

Metrics

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

Results

<!-- [More Information Needed] -->