README.md

metadata

language:
  - fr
  - bm
license: cc-by-nc-4.0
library_name: transformers
tags:
  - generated_from_trainer
base_model: facebook/nllb-200-distilled-600M
datasets:
  - oza75/mt-fr-bm-texts
metrics:
  - sacrebleu
pipeline_tag: translation
model-index:
  - name: nllb-600M-mt-french-bambara
    results: []

nllb-600M-mt-french-bambara

This model is a fine-tuned version of facebook/nllb-200-distilled-600M on the None dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 8e-06
• 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: 6
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.40.0
• Pytorch 2.2.0+cu121
• Datasets 2.19.0
• Tokenizers 0.19.1