--- library_name: transformers license: mit base_model: microsoft/speecht5_tts tags: - generated_from_trainer model-index: - name: speecht5_finetuned_uz_customDat_3 results: [] --- # speecht5_finetuned_uz_customDat_3 This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.5390 ## 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: 16 - eval_batch_size: 4 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 64 - 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: 500 - training_steps: 2000 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:--------:|:----:|:---------------:| | 0.5014 | 11.7879 | 200 | 0.4656 | | 0.4407 | 23.5455 | 400 | 0.4460 | | 0.418 | 35.3030 | 600 | 0.4447 | | 0.3972 | 47.0606 | 800 | 0.4652 | | 0.3819 | 58.8485 | 1000 | 0.4874 | | 0.373 | 70.6061 | 1200 | 0.4850 | | 0.3709 | 82.3636 | 1400 | 0.5019 | | 0.3631 | 94.1212 | 1600 | 0.5121 | | 0.3595 | 105.9091 | 1800 | 0.5319 | | 0.3647 | 117.6667 | 2000 | 0.5390 | ### Framework versions - Transformers 4.47.0.dev0 - Pytorch 2.5.1+cu121 - Datasets 3.1.0 - Tokenizers 0.20.3