--- library_name: transformers license: cc-by-nc-4.0 base_model: facebook/nllb-200-distilled-600M tags: - generated_from_trainer metrics: - bleu model-index: - name: nllb-600m-dz-en results: [] --- # nllb-600m-dz-en This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.1018 - Bleu: 63.1240 ## 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: 3e-05 - train_batch_size: 4 - eval_batch_size: 4 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 8 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 5 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu | |:-------------:|:-----:|:----:|:---------------:|:-------:| | No log | 1.0 | 250 | 3.2227 | 58.0755 | | 4.0188 | 2.0 | 500 | 0.3604 | 59.8527 | | 4.0188 | 3.0 | 750 | 0.1086 | 62.2629 | | 0.1201 | 4.0 | 1000 | 0.1018 | 63.0620 | | 0.1201 | 5.0 | 1250 | 0.1018 | 63.1240 | ### Framework versions - Transformers 4.52.4 - Pytorch 2.6.0+cu124 - Datasets 3.6.0 - Tokenizers 0.21.1