SpeechT5-v21
This model is a fine-tuned version of microsoft/speecht5_tts on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.4759
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- training_steps: 12000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5196 | 6.47 | 500 | 0.4665 |
| 0.4779 | 12.94 | 1000 | 0.4381 |
| 0.4525 | 19.42 | 1500 | 0.4259 |
| 0.438 | 25.89 | 2000 | 0.4207 |
| 0.4272 | 32.36 | 2500 | 0.4287 |
| 0.4211 | 38.83 | 3000 | 0.4359 |
| 0.4118 | 45.31 | 3500 | 0.4403 |
| 0.4074 | 51.78 | 4000 | 0.4431 |
| 0.4036 | 58.25 | 4500 | 0.4504 |
| 0.3972 | 64.72 | 5000 | 0.4571 |
| 0.3949 | 71.2 | 5500 | 0.4549 |
| 0.3906 | 77.67 | 6000 | 0.4554 |
| 0.3903 | 84.14 | 6500 | 0.4825 |
| 0.3858 | 90.61 | 7000 | 0.4600 |
| 0.3848 | 97.09 | 7500 | 0.4741 |
| 0.3838 | 103.56 | 8000 | 0.4686 |
| 0.3845 | 110.03 | 8500 | 0.4707 |
| 0.3819 | 116.5 | 9000 | 0.4610 |
| 0.3793 | 122.98 | 9500 | 0.4685 |
| 0.3808 | 129.45 | 10000 | 0.4666 |
| 0.377 | 135.92 | 10500 | 0.4766 |
| 0.3768 | 142.39 | 11000 | 0.4714 |
| 0.3762 | 148.87 | 11500 | 0.4792 |
| 0.3749 | 155.34 | 12000 | 0.4759 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.3.1+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1