--- language: - en license: mit base_model: microsoft/speecht5_tts tags: - scottish - tts - glaswegian - generated_from_trainer datasets: - divakaivan/glaswegian_audio model-index: - name: GlaswegianTTS v0.1.0 results: [] --- # GlaswegianTTS v0.1.0 This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the glaswegian_tts_v0.1.0 dataset. It achieves the following results on the evaluation set: - Loss: 0.4605 ## 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: 8 - 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: 1000 - training_steps: 4000 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:--------:|:----:|:---------------:| | 0.4699 | 35.2423 | 1000 | 0.4320 | | 0.4246 | 70.4846 | 2000 | 0.4422 | | 0.4115 | 105.7269 | 3000 | 0.4529 | | 0.4127 | 140.9692 | 4000 | 0.4605 | ### Framework versions - Transformers 4.44.0.dev0 - Pytorch 2.3.1+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1