--- license: mit base_model: microsoft/speecht5_tts tags: - generated_from_trainer datasets: - lj_speech model-index: - name: speecht5_finetuned_voxpopuli_nl results: [] --- # speecht5_finetuned_voxpopuli_nl This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the lj_speech dataset. It achieves the following results on the evaluation set: - Loss: 0.3763 ## 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: 4 - eval_batch_size: 2 - seed: 42 - gradient_accumulation_steps: 8 - 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 | |:-------------:|:-----:|:----:|:---------------:| | 0.4277 | 2.71 | 1000 | 0.3887 | | 0.4157 | 5.43 | 2000 | 0.3805 | | 0.4132 | 8.14 | 3000 | 0.3774 | | 0.417 | 10.85 | 4000 | 0.3763 | ### Framework versions - Transformers 4.33.3 - Pytorch 2.2.0 - Datasets 2.17.1 - Tokenizers 0.13.3