SpeechT5 TTS English
This model is a fine-tuned version of microsoft/speecht5_tts on the commonvoice dataset. It achieves the following results on the evaluation set:
- Loss: 0.4418625831604004
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5189 | 1.09 | 1000 | 0.47117307782173157 |
| 0.4989 | 2.2 | 2000 | 0.45266708731651306 |
| 0.4905 | 3.34 | 3000 | 0.4461110234260559 |
| 0.4844 | 4.46 | 4000 | 0.4418625831604004 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3