--- library_name: transformers language_bcp47: - kan_Knda - hin_Deva license: cc-by-nc-4.0 base_model: facebook/nllb-200-distilled-600M tags: - generated_from_trainer metrics: - bleu model-index: - name: output results: [] --- # output 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: 1.1433 - Bleu: 43.1563 - Chrf: 71.5797 - Gen Len: 24.5884 ## 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: 5e-05 - train_batch_size: 4 - eval_batch_size: 4 - seed: 42 - 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: 10.0 ### Training results ### Framework versions - Transformers 4.54.0.dev0 - Pytorch 2.7.1+cu126 - Datasets 4.0.0 - Tokenizers 0.21.2