---
library_name: transformers
license: cc-by-nc-4.0
base_model: oza75/nllb-600M-mt-french-bambara
tags:
- generated_from_trainer
model-index:
- name: nllb-600M-mt-french-bambara
  results: []
---

# Overview
The demo of the model can be found here: [Bambara Translator](https://huggingface.co/spaces/oza75/bambara-translator)

## Project
This model is part of a larger initiative dedicated to enabling Bambara speakers to access global knowledge without language barriers. 
Our goal is to eliminate the need for Bambara speakers to learn a secondary language before they can acquire new information or skills. 
By providing this model, we aim to support the creation of tools for bambara language, thus democratizing access to knowledge.

## Bambara Language

Bambara, also known as Bamanankan, is a Mande language spoken primarily in Mali by millions of people as a mother tongue and second language.
It serves as a lingua franca in Mali and is also spoken in neighboring countries (Burkina Faso, Ivory Coast etc...). Bambara is written in both the Latin script and N'Ko script,
and it has a rich oral tradition that is integral to Malian culture.

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1