SpeechT5 Fine-Tuned on Custom Dataset
This model is a fine-tuned version of microsoft/speecht5_tts on the Custom Speech Dataset dataset. It achieves the following results on the evaluation set:
- Loss: 0.6423
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1678 | 500.0 | 500 | 0.5300 |
| 0.1271 | 1000.0 | 1000 | 0.5997 |
| 0.1149 | 1500.0 | 1500 | 0.6348 |
| 0.1085 | 2000.0 | 2000 | 0.6423 |
Framework versions
- Transformers 4.49.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for gcuomo/speecht5_finetuned_model
Base model
microsoft/speecht5_tts