--- 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](https://huggingface.co/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