Nllb Indo En

--- library_name: transformers license: cc-by-nc-4.0 base_model: facebook/nllb-200-distilled-600M tags: - generated_from_trainer model-index: - name: nllb-indo-en-cleaned results: [] datasets: - cobrayyxx/FLEURS_INDO-ENG_Speech_Translation_No_Duplicate language: - id - en metrics: - bleu - chrf pipeline_tag: audio-text-to-text --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # nllb-indo-en This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on [Fleurs Dataset](https://huggingface.co/datasets/cobrayyxx/FLEURS_INDO-ENG_Speech_Translation_No_Duplicate) without duplication of `id`s. It achieves the following results on the evaluation set: - Loss: 0.3048 ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 5e-05 - train_batch_size: 2 - eval_batch_size: 2 - seed: 42 - gradient_accumulation_steps: 8 - total_train_batch_size: 16 - 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 - training_steps: 1000 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-------:|:----:|:---------------:| | No log | 1.0 | 96 | 4.3318 | | 53.1274 | 2.0 | 192 | 2.0475 | | 25.7634 | 3.0 | 288 | 0.4936 | | 8.4388 | 4.0 | 384 | 0.2444 | | 1.7896 | 5.0 | 480 | 0.2407 | | 0.8853 | 6.0 | 576 | 0.2626 | | 0.5583 | 7.0 | 672 | 0.2793 | | 0.4353 | 8.0 | 768 | 0.2936 | | 0.3497 | 9.0 | 864 | 0.2992 | | 0.2969 | 10.0 | 960 | 0.3038 | | 0.2713 | 10.4199 | 1000 | 0.3048 | ## Model Evaluation The performance of this model was evaluated using BLEU and CHRF metrics on validation dataset. | BLEU | CHRF | |:----:|:-----:| | 40.94| 66.46 | ### Framework versions - Transformers 4.47.1 - Pytorch 2.5.1+cu121 - Datasets 3.2.0 - Tokenizers 0.21.0

Source context: 41 downloads · 0 likes · Pipeline audio-text-to-text · Library transformers · Repo cobrayyxx/nllb-indo-en

Source context: 9 downloads · 0 likes · Pipeline audio-text-to-text · Library transformers · Repo cobrayyxx/nllb-indo-en