Speech T5 TTS English
This model is a fine-tuned version of microsoft/speecht5_tts on the IMDA National Speech Corpus dataset. It achieves the following results on the evaluation set:
- Loss: 0.3968
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: 32
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4693 | 0.91 | 1000 | 0.4240 |
| 0.4524 | 1.82 | 2000 | 0.4132 |
| 0.4405 | 2.72 | 3000 | 0.4079 |
| 0.4416 | 3.63 | 4000 | 0.4056 |
| 0.4298 | 4.54 | 5000 | 0.4009 |
| 0.4363 | 5.45 | 6000 | 0.4002 |
| 0.4301 | 6.35 | 7000 | 0.3989 |
| 0.4376 | 7.26 | 8000 | 0.3978 |
| 0.4308 | 8.17 | 9000 | 0.3984 |
| 0.4363 | 9.08 | 10000 | 0.3971 |
| 0.4341 | 9.99 | 11000 | 0.3968 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
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Base model
microsoft/speecht5_tts