<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
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: 0.4261
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 |
|---|---|---|---|
| 0.4543 | 13.61 | 1000 | 0.4225 |
| 0.4525 | 27.21 | 2000 | 0.4203 |
| 0.4359 | 40.82 | 3000 | 0.4228 |
| 0.4324 | 54.42 | 4000 | 0.4261 |
Framework versions
- Transformers 4.30.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
