--- library_name: transformers tags: - generated_from_trainer model-index: - name: nllb-darija results: [] --- # nllb-darija This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set: - Loss: 2.6017 ## 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: 2e-05 - train_batch_size: 1 - eval_batch_size: 1 - seed: 42 - distributed_type: multi-GPU - num_devices: 8 - gradient_accumulation_steps: 8 - total_train_batch_size: 64 - total_eval_batch_size: 8 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 500 - num_epochs: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | 2.8028 | 1.7778 | 500 | 2.6017 | ### Framework versions - Transformers 4.44.2 - Pytorch 2.0.1 - Datasets 2.21.0 - Tokenizers 0.19.1