--- library_name: transformers license: mit base_model: fahadqazi/Sindhi-TTS tags: - generated_from_trainer model-index: - name: Sindhi-TTS results: [] --- # Sindhi-TTS This model is a fine-tuned version of [fahadqazi/Sindhi-TTS](https://huggingface.co/fahadqazi/Sindhi-TTS) on the None dataset. It achieves the following results on the evaluation set: - eval_loss: 0.4602 - eval_runtime: 47.8291 - eval_samples_per_second: 36.421 - eval_steps_per_second: 18.211 - epoch: 13.2653 - step: 6500 ## 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: 0.0001 - train_batch_size: 16 - eval_batch_size: 2 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 32 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 200 - training_steps: 10000 - mixed_precision_training: Native AMP ### Framework versions - Transformers 4.46.2 - Pytorch 2.5.1+cu121 - Datasets 3.1.0 - Tokenizers 0.20.3