--- language: - tr license: mit base_model: microsoft/speecht5_tts tags: - text-to-speech - turkish - speech-generation - generated_from_trainer datasets: - common_voice model-index: - name: SpeechT5 TTS Turkish results: [] --- # SpeechT5 TTS Turkish This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the CommonVoice dataset. It achieves the following results on the evaluation set: - Loss: 0.4650 ## 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: 1e-05 - train_batch_size: 16 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 32 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 500 - training_steps: 4000 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | 0.4726 | 111.11 | 1000 | 0.4570 | | 0.4333 | 222.22 | 2000 | 0.4567 | | 0.417 | 333.33 | 3000 | 0.4631 | | 0.4327 | 444.44 | 4000 | 0.4650 | ### Framework versions - Transformers 4.33.0.dev0 - Pytorch 2.0.1+cu117 - Datasets 2.14.4 - Tokenizers 0.13.3